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In computer vision and image processing, motion estimation is the process of determining motion vectors that describe the transformation from one 2D imageDeepDream (1,779 words) [view diff] no match in snippet view article find links to article
DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patternsMean shift (2,023 words) [view diff] no match in snippet view article find links to article
mode-seeking algorithm. Application domains include cluster analysis in computer vision and image processing. The mean shift procedure is usually creditedOutline of computer vision (771 words) [view diff] no match in snippet view article find links to article
outline is provided as an overview of and topical guide to computer vision: Computer vision – interdisciplinary field that deals with how computers canPattern recognition (4,259 words) [view diff] no match in snippet view article find links to article
is popular in the context of computer vision: a leading computer vision conference is named Conference on Computer Vision and Pattern Recognition. In machineStructure from motion (2,603 words) [view diff] no match in snippet view article find links to article
is a classic problem studied in the fields of computer vision and visual perception. In computer vision, the problem of SfM is to design an algorithmVisual odometry (1,669 words) [view diff] no match in snippet view article find links to article
In robotics and computer vision, visual odometry is the process of determining the position and orientation of a robot by analyzing the associated cameraU-Net (1,214 words) [view diff] no match in snippet view article find links to article
One important modification in U-Net is that there are a large number of feature channels in the upsampling part, which allow the network to propagate contextConvolutional neural network (15,585 words) [view diff] no match in snippet view article find links to article
networks are the de-facto standard in deep learning-based approaches to computer vision and image processing, and have only recently been replaced—in someBag-of-words model in computer vision (2,620 words) [view diff] no match in snippet view article find links to article
In computer vision, the bag-of-words (BoW) model, sometimes called bag-of-visual-words model, can be applied to image classification or retrieval, byTango (platform) (1,502 words) [view diff] no match in snippet view article
Technology and Projects (ATAP), a skunkworks division of Google. It used computer vision to enable mobile devices, such as smartphones and tablets, to detect3D reconstruction (3,950 words) [view diff] no match in snippet view article find links to article
In computer vision and computer graphics, 3D reconstruction is the process of capturing the shape and appearance of real objects. This process can beBing Audio (295 words) [view diff] no match in snippet view article find links to article
subscribers can immediately add the songs to their playlists. A unique feature compared to similar services is that Bing Audio continuously listens andOptical braille recognition (716 words) [view diff] no match in snippet view article find links to article
ISSN 1051-4651. S2CID 16350406. Ng, C.; Ng, V.; Lau, Y. (September 1999). "Regular feature extraction for recognition of Braille". Proceedings Third InternationalCVIPtools (612 words) [view diff] no match in snippet view article find links to article
The Computer Vision and Image Processing Feature Extraction and Pattern Classification Tool, CVIP-FEPC, is used to advance human and computer vision applicationsDigital image processing (5,364 words) [view diff] no match in snippet view article find links to article
progress without sufficient resources. Digital imaging Computer graphics Computer vision CVIPtools Digitizing Fourier transform Free boundary condition GPGPUUnderwater computer vision (1,185 words) [view diff] no match in snippet view article find links to article
Underwater computer vision is a subfield of computer vision. In recent years, with the development of underwater vehicles ( ROV, AUV, gliders), the needSimultaneous localization and mapping (3,878 words) [view diff] no match in snippet view article find links to article
SLAM algorithms are based on concepts in computational geometry and computer vision, and are used in robot navigation, robotic mapping and odometry forOpenCV (955 words) [view diff] no match in snippet view article find links to article
OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. Originally developed by IntelImage histogram (485 words) [view diff] no match in snippet view article find links to article
picture brightness and contrast can thus be obtained. In the field of computer vision, image histograms can be useful tools for thresholding. Because theMotion capture (7,006 words) [view diff] no match in snippet view article find links to article
entertainment, sports, medical applications, and for validation of computer vision and robots. In films, television shows and video games, motion captureAudio-visual speech recognition (158 words) [view diff] no match in snippet view article find links to article
get feature vector out of it . For visual part generally we use some variant of convolutional neural network to compress the image to a feature vectorConditional random field (2,065 words) [view diff] no match in snippet view article find links to article
functional region finding, and object recognition and image segmentation in computer vision. CRFs are a type of discriminative undirected probabilistic graphicalN-jet (145 words) [view diff] no match in snippet view article find links to article
) {\displaystyle f(x)} up to order N. Specifically, in the area of computer vision, the N-jet is usually computed from a scale space representation LTakeo Kanade (816 words) [view diff] no match in snippet view article find links to article
computer scientist and one of the world's foremost researchers in computer vision. He is U.A. and Helen Whitaker Professor at Carnegie Mellon SchoolBundle adjustment (1,042 words) [view diff] no match in snippet view article find links to article
photogrammetry during the 1950s and has increasingly been used by computer vision researchers during recent years.: 2 Bundle adjustment boils down toBag-of-words model (926 words) [view diff] no match in snippet view article find links to article
occurrence of each word is used as a feature for training a classifier. It has also been used for computer vision. An early reference to "bag of words"Marr–Hildreth algorithm (278 words) [view diff] no match in snippet view article find links to article
In computer vision, the Marr–Hildreth algorithm is a method of detecting edges in digital images, that is, continuous curves where there are strong andOne-shot learning (computer vision) (4,104 words) [view diff] no match in snippet view article
One-shot learning is an object categorization problem, found mostly in computer vision. Whereas most machine learning-based object categorization algorithmsRandom sample consensus (4,146 words) [view diff] no match in snippet view article find links to article
scale-invariant feature transform, image stitching, rigid motion segmentation. Since 1981 RANSAC has become a fundamental tool in the computer vision and imageLocal binary patterns (1,297 words) [view diff] no match in snippet view article find links to article
patterns (LBP) is a type of visual descriptor used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposedComputer stereo vision (2,241 words) [view diff] no match in snippet view article find links to article
the observer's right eye and from the left one to the left eye. In a computer vision system, several pre-processing steps are required. The image must firstImage stitching (2,834 words) [view diff] no match in snippet view article find links to article
algorithm is run. The RANSAC algorithm has found many applications in computer vision, including the simultaneous solving of the correspondence problem and3D pose estimation (1,050 words) [view diff] no match in snippet view article find links to article
user-defined reference pose, given an image or a 3D scan. It arises in computer vision or robotics where the pose or transformation of an object can be usedYann LeCun (1,994 words) [view diff] no match in snippet view article find links to article
computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience. He is the Silver ProfessorMachine learning (15,570 words) [view diff] no match in snippet view article find links to article
application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. ThePose (computer vision) (725 words) [view diff] no match in snippet view article
In the fields of computing and computer vision, pose (or spatial pose) represents the position and the orientation of an object, each usually in threeDocument mosaicing (1,912 words) [view diff] no match in snippet view article find links to article
"Appendix-Projective geometry for machine vision". Geometric Invariance in Computer Vision. Cambridge MA: MIT Press. CiteSeerX 10.1.1.17.1329. ISBN 9780262132855Convolution (8,819 words) [view diff] no match in snippet view article find links to article
processing and image processing, geophysics, engineering, physics, computer vision and differential equations. The convolution can be defined for functionsContextual image classification (1,417 words) [view diff] no match in snippet view article find links to article
Contextual image classification, a topic of pattern recognition in computer vision, is an approach of classification based on contextual information inAI-complete (1,530 words) [view diff] no match in snippet view article find links to article
algorithm. In the past, problems supposed to be AI-complete included computer vision, natural language understanding, and dealing with unexpected circumstancesAlexNet (2,160 words) [view diff] no match in snippet view article find links to article
structured estimation, among others. For computer vision in particular, much progress came from manual feature engineering, such as SIFT features, SURFThomas Binford (427 words) [view diff] no match in snippet view article find links to article
researcher in image analysis and computer vision since 1967. He developed a model-based approach to computer vision in which complex objects are representedPyTorch (1,359 words) [view diff] no match in snippet view article find links to article
library based on the Torch library, used for applications such as computer vision and natural language processing, originally developed by Meta AI andKernel (image processing) (1,718 words) [view diff] no match in snippet view article
ISBN 978-0470523971. Shapiro, Linda G.; Stockman, George C. (February 2001). Computer Vision. Prentice Hall. pp. 53–54. ISBN 978-0130307965. Implementing 2d convolutionFeature learning (5,114 words) [view diff] no match in snippet view article find links to article
machine learning (AutoML) Deep learning geometric feature learning Feature detection (computer vision) Feature extraction Word embedding Vector quantizationOptical character recognition (4,093 words) [view diff] no match in snippet view article find links to article
field of research in pattern recognition, artificial intelligence and computer vision. Early versions needed to be trained with images of each characterFree viewpoint television (818 words) [view diff] no match in snippet view article find links to article
rendering arbitrary views of natural scenes have been well known in the computer vision community for a long time but only in recent years[when?] has the speedIrissometry (464 words) [view diff] no match in snippet view article find links to article
"Irissometry: Effects of Pupil Size on Iris Elasticity Measured With Video-Based Feature Tracking". Investigative Ophthalmology & Visual Science. 63 (2): 20. doi:10Omnidirectional (360-degree) camera (1,456 words) [view diff] no match in snippet view article
a 360-degree view, better results can be obtained for optical flow and feature selection and matching. 360 cameras have become extremely popular withinMicrosoft Azure (7,066 words) [view diff] no match in snippet view article find links to article
recognition, speaker recognition, neural speech synthesis, face recognition, computer vision, OCR/form understanding, natural language processing, machine translationGeometric feature learning (2,042 words) [view diff] no match in snippet view article find links to article
Geometric feature learning is a technique combining machine learning and computer vision to solve visual tasks. The main goal of this method is to findScale co-occurrence matrix (667 words) [view diff] no match in snippet view article find links to article
Scale co-occurrence matrix (SCM) is a method for image feature extraction within scale space after wavelet transformation, proposed by Wu Jun and ZhaoGeometric hashing (1,085 words) [view diff] no match in snippet view article find links to article
consistent object basis. Geometric hashing was originally suggested in computer vision for object recognition in 2D and 3D, but later was applied to differentMorphing (1,544 words) [view diff] no match in snippet view article find links to article
For high-end use, Elastic Reality (based on MorphPlus) saw its first feature film use in In The Line of Fire (1993) and was used in Quantum Leap (workMatch moving (2,913 words) [view diff] no match in snippet view article find links to article
RMS error. What is important is that each feature represents a specific point on the surface of a real object. As a feature is tracked it becomes a series ofBinocular disparity (1,624 words) [view diff] no match in snippet view article find links to article
information from the two-dimensional retinal images in stereopsis. In computer vision, binocular disparity refers to the difference in coordinates of similarIntegral channel feature (1,542 words) [view diff] no match in snippet view article find links to article
(ICF), also known as ChnFtrs, is a method for object detection in computer vision. It uses integral images to extract features such as local sums, histogramsCellCognition (515 words) [view diff] no match in snippet view article find links to article
systems microscopy. The CellCognition framework uses image processing, computer vision and machine learning techniques for single-cell tracking and classificationCo-occurrence matrix (862 words) [view diff] no match in snippet view article find links to article
A co-occurrence matrix or co-occurrence distribution (also referred to as : gray-level co-occurrence matrices GLCMs) is a matrix that is defined over anMedical image computing (8,475 words) [view diff] no match in snippet view article find links to article
contrast, noise, and other imaging ambiguities. Although there are many computer vision techniques for image segmentation, some have been adapted specificallyGoogle Goggles (591 words) [view diff] no match in snippet view article find links to article
4.0. In a May 2014 update to Google Mobile for iOS, the Google Goggles feature was removed. At Google I/O 2017, a similar app, Google Lens was announcedVisage SDK (472 words) [view diff] no match in snippet view article find links to article
Automatic detection of separate people in front of the camera Biometrics Computer vision Emotion recognition Eye tracking Face detection Facial recognitionMultilinear principal component analysis (990 words) [view diff] no match in snippet view article find links to article
" Proc. 7th European Conference on Computer Vision (ECCV'02), Copenhagen, Denmark, May, 2002, in Computer Vision – ECCV 2002, Lecture Notes in ComputerScale invariance (4,486 words) [view diff] no match in snippet view article find links to article
8(7):e66990. Lindeberg, Tony (1998). "Feature detection with automatic scale selection". International Journal of Computer Vision. 30 (2): 79–116. doi:10.1023/A:1008045108935Vision transformer (4,127 words) [view diff] no match in snippet view article find links to article
A vision transformer (ViT) is a transformer designed for computer vision. A ViT decomposes an input image into a series of patches (rather than text intoReverse image search (2,834 words) [view diff] no match in snippet view article find links to article
the comparison between images using content-based image retrieval computer vision techniques. During the search the content of the image is examinedPlayStation Eye (2,122 words) [view diff] no match in snippet view article find links to article
device, similar to a webcam, for the PlayStation 3. The technology uses computer vision and gesture recognition to process images taken by the camera. ThisStatistical learning theory (1,709 words) [view diff] no match in snippet view article find links to article
learning theory has led to successful applications in fields such as computer vision, speech recognition, and bioinformatics. The goals of learning areImage segmentation (9,700 words) [view diff] no match in snippet view article find links to article
In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple image segments, alsoRectifier (neural networks) (2,990 words) [view diff] no match in snippet view article
functions for artificial neural networks, and finds application in computer vision and speech recognition using deep neural nets and computational neuroscienceMarkov random field (2,817 words) [view diff] no match in snippet view article find links to article
used to model various low- to mid-level tasks in image processing and computer vision. Given an undirected graph G = ( V , E ) {\displaystyle G=(V,E)} ,Self-supervised learning (2,047 words) [view diff] no match in snippet view article find links to article
Self-Supervised Visual Learning". 2017 IEEE International Conference on Computer Vision (ICCV). IEEE. pp. 2070–2079. arXiv:1708.07860. doi:10.1109/iccv.2017View synthesis (316 words) [view diff] no match in snippet view article find links to article
https://web.archive.org/web/20060905013927/http://www.cs.wisc.edu/computer-vision/projects/interp/interp.html http://homepages.inf.ed.acMicrosoft PixelSense (2,302 words) [view diff] no match in snippet view article find links to article
virtual concierge, and games, that can be customized for the customers. A feature that comes preinstalled is the "Attract" application, an image of waterPoint-set registration (9,086 words) [view diff] no match in snippet view article find links to article
In computer vision, pattern recognition, and robotics, point-set registration, also known as point-cloud registration or scan matching, is the processPhase congruency (549 words) [view diff] no match in snippet view article find links to article
Phase congruency is a measure of feature significance in computer images, a method of edge detection that is particularly robust against changes in illuminationParallax (3,846 words) [view diff] no match in snippet view article find links to article
to gain depth perception; this process is known as stereopsis. In computer vision the effect is used for computer stereo vision, and there is a deviceVideo tracking (1,212 words) [view diff] no match in snippet view article find links to article
Meer, P., "Real-time tracking of non-rigid objects using mean shift," Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on, volViola–Jones object detection framework (2,854 words) [view diff] no match in snippet view article find links to article
on Computer Vision, 1998 "Viola-Jones' face detection claims 180k features". stackoverflow.com. Retrieved 2017-06-27. R. Szeliski, Computer Vision, algorithmsCensus transform (611 words) [view diff] no match in snippet view article find links to article
of intensity, e.g. along object boundaries. It has applications in computer vision, and it is commonly used in visual correspondence problems such asVideo content analysis (1,449 words) [view diff] no match in snippet view article find links to article
videos for important events. Video content analysis is a subset of computer vision and thereby of artificial intelligence. Two major academic benchmarkTriangulation (computer vision) (2,384 words) [view diff] no match in snippet view article
In computer vision, triangulation refers to the process of determining a point in 3D space given its projections onto two, or more, images. In order toGround truth (1,275 words) [view diff] no match in snippet view article find links to article
example of an error of commission is when a pixel reports the presence of a feature (such a tree) that, in reality, is absent (no tree is actually present)Graphical Models (344 words) [view diff] no match in snippet view article find links to article
image analysis. Its first change of name came in 1983, when it became Computer Vision, Graphics, and Image Processing. In 1991, it split into two journalsMathcad (1,299 words) [view diff] no match in snippet view article find links to article
with PTC's Creo Elements/Pro, Windchill, and Creo Elements/View. Its live feature-level integration with Creo Elements/Pro enables Mathcad analytical modelsContent-based image retrieval (3,080 words) [view diff] no match in snippet view article find links to article
content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem ofEyeToy (1,845 words) [view diff] no match in snippet view article find links to article
a color webcam for use with the PlayStation 2. Supported games use computer vision and gesture recognition to process images taken by the EyeToy. ThisStep detection (1,943 words) [view diff] no match in snippet view article find links to article
In statistics and signal processing, step detection (also known as step smoothing, step filtering, shift detection, jump detection or edge detection) isMotion controller (1,477 words) [view diff] no match in snippet view article find links to article
freedom (6DOF) tracking. Image sensors are used in conjunction with computer vision and are placed in locations such as on handheld or worn devices orDynamic texture (634 words) [view diff] no match in snippet view article find links to article
texture is a topic of images processing and pattern recognition in computer vision. Extracting features that describe the dynamic texture can be utilizedVisual sensor network (756 words) [view diff] no match in snippet view article find links to article
arbitrarily generated one) of a live event. Wireless sensor network Computer vision Smartdust Smart camera Sensor fusion Tavli, Bulent; Bicakci, Kemal;Check weigher (2,299 words) [view diff] no match in snippet view article find links to article
scientific method to predict these timings. Some systems have a "graphing" feature to do this, but it is generally more of an empirical method that worksLucas–Kanade method (1,764 words) [view diff] no match in snippet view article find links to article
In computer vision, the Lucas–Kanade method is a widely used differential method for optical flow estimation developed by Bruce D. Lucas and Takeo KanadeDavid Marr (neuroscientist) (2,186 words) [view diff] no match in snippet view article
his honour. The Marr Prize, one of the most prestigious awards in computer vision, the David Marr Medal awarded every two years by the Applied VisionImage gradient (874 words) [view diff] no match in snippet view article find links to article
progressions to indicate elevation and population density, among others. In computer vision, image gradients can be used to extract information from images. GradientImage rectification (1,765 words) [view diff] no match in snippet view article find links to article
view geometry in computer vision. Cambridge university press. ISBN 9780521540513. Forsyth, David A.; Ponce, Jean (2002). Computer vision: a modern approachPose tracking (3,483 words) [view diff] no match in snippet view article find links to article
around the headset to determine position and orientation based on computer vision algorithms. This method is based on the same principle as stereoscopicAndrew Ng (3,740 words) [view diff] no match in snippet view article find links to article
publications in robotics, and related fields. His work in computer vision and deep learning has been featured often in press releases and reviews. 1995. Bell AtlanticAndrew Ng (3,740 words) [view diff] no match in snippet view article find links to article
publications in robotics, and related fields. His work in computer vision and deep learning has been featured often in press releases and reviews. 1995. Bell AtlanticAutomated optical inspection (513 words) [view diff] no match in snippet view article find links to article
Line width violations Spacing violation Excess copper Missing pad – a feature that should be on the board is missing Short circuits Gold Finger damageActivation function (1,960 words) [view diff] no match in snippet view article find links to article
model developed by Hinton et al; the ReLU used in the 2012 AlexNet computer vision model and in the 2015 ResNet model; and the smooth version of the ReLUImageNet (3,393 words) [view diff] no match in snippet view article find links to article
database for the first time as a poster at the 2009 Conference on Computer Vision and Pattern Recognition (CVPR) in Florida, titled "ImageNet: A PreviewMoving object detection (387 words) [view diff] no match in snippet view article find links to article
Moving object detection is a technique used in computer vision and image processing. Multiple consecutive frames from a video are compared by variousJitendra Malik (819 words) [view diff] no match in snippet view article find links to article
University of California, Berkeley. He is known for his research in computer vision. Malik was born in Mathura, India, on October 11, 1960. He did hisVisual servoing (4,026 words) [view diff] no match in snippet view article find links to article
translations. Pose estimation is performed using standard technique from Computer Vision. Pixel errors are transformed to the pose. These are propagating toVisual Word (837 words) [view diff] no match in snippet view article find links to article
Face Recognition Text Information Retrieval Bag-of-words model in computer vision BAEZA-YATES, R. A.; RIBEIRO-NETO, B. A. (1999), Modern InformationDriver drowsiness detection (1,671 words) [view diff] no match in snippet view article find links to article
vehicle actively instead of using an automatic lane-keeping system. Uses computer vision to observe the driver's face, either using a built-in camera or onPedestrian detection (951 words) [view diff] no match in snippet view article find links to article
challenges, pedestrian detection still remains an active research area in computer vision in recent years. Numerous approaches have been proposed. DetectorsColor constancy (3,434 words) [view diff] no match in snippet view article find links to article
taking place in human physiology. Color constancy is a desirable feature of computer vision, and many algorithms have been developed for this purpose. TheseDigital video fingerprinting (1,470 words) [view diff] no match in snippet view article find links to article
S2CID 3633912. Oostveen, J., Kalker, T., & Haitsma, J. (2002, March). Feature extraction and a database strategy for video fingerprinting. In InternationalLandmark detection (946 words) [view diff] no match in snippet view article find links to article
efficient detection of landmarks in real-world photos. With traditional computer vision techniques, detecting facial landmarks could be challenging due toComputer-aided diagnosis (7,875 words) [view diff] no match in snippet view article find links to article
interdisciplinary technology combining elements of artificial intelligence and computer vision with radiological and pathology image processing. A typical applicationK-means clustering (7,754 words) [view diff] no match in snippet view article find links to article
recognition) and in computer vision. On an object recognition task, it was found to exhibit comparable performance with more sophisticated feature learning approachesCaffe (software) (378 words) [view diff] no match in snippet view article
Archived from the original (PDF) on April 5, 2017. "Deep Learning for Computer Vision with Caffe and cuDNN". NVIDIA Developer Blog. October 16, 2014. "mkl_alternateMotion compensation (2,743 words) [view diff] no match in snippet view article find links to article
to encode. Other areas of work have examined the use of variable-shape feature metrics, beyond block boundaries, from which interframe vectors can beTrifocal tensor (1,227 words) [view diff] no match in snippet view article find links to article
In computer vision, the trifocal tensor (also tritensor) is a 3×3×3 array of numbers (i.e., a tensor) that incorporates all projective geometric relationshipsOptical sorting (3,051 words) [view diff] no match in snippet view article find links to article
portal Food grading Food safety Food technology Recycling § Sorting Computer vision technology for food quality evaluation. Sun, Da-Wen. (1st ed.). Amsterdam:3D reconstruction from multiple images (3,002 words) [view diff] no match in snippet view article find links to article
practice, the matching is an essential and extremely challenging issue in computer vision. Here, we suppose that n {\displaystyle n} 3D points A i {\displaystyleVideo imprint (computer vision) (259 words) [view diff] no match in snippet view article
appearance and shape". Proceedings Ninth IEEE International Conference on Computer Vision. IEEE ICCV. pp. 34-41 vol.1. doi:10.1109/iccv.2003.1238311. ISBN 0-7695-1950-4Traffic-sign recognition (1,231 words) [view diff] no match in snippet view article find links to article
Learning techniques. The neural net in turn uses Image Processing and Computer Vision to train the network with its potential outcomes. The trained neuralVisual hull (396 words) [view diff] no match in snippet view article find links to article
v t e Computer vision Categories Datasets Digital geometry Commercial systems Feature detection Geometry Image sensor technology Learning Morphology MotionGoogle Photos (4,335 words) [view diff] no match in snippet view article find links to article
The computer vision of Google Photos recognizes faces (not only those of humans, but pets as well), grouping similar ones together (this feature is onlyLegendre moment (525 words) [view diff] no match in snippet view article find links to article
including: pattern and object recognition, image indexing, line fitting, feature extraction, edge detection, and texture analysis. Legendre moments haveSift (disambiguation) (152 words) [view diff] no match in snippet view article
Sift or SIFT may also refer to: Scale-invariant feature transform, an algorithm in computer vision to detect and describe local features in images Selected-ionSerge Belongie (747 words) [view diff] no match in snippet view article find links to article
context, a widely used feature descriptor in object recognition. He has co-founded several startups in the areas of computer vision and object recognitionImageNets (165 words) [view diff] no match in snippet view article find links to article
Care-Providing Robot FRIEND but it can be used for a wide range of computer vision applications. Lange, U., Kampe, H. Gräser, A. (2012). Fast DevelopmentAugmented reality (16,935 words) [view diff] no match in snippet view article find links to article
experiences. With the help of advanced AR technologies (e.g. adding computer vision, incorporating AR cameras into smartphone applications, and objectPerspective-n-Point (2,342 words) [view diff] no match in snippet view article find links to article
problem originates from camera calibration and has many applications in computer vision and other areas, including 3D pose estimation, robotics and augmentedRandom walker algorithm (2,256 words) [view diff] no match in snippet view article find links to article
its extensions has been additionally applied to several problems in computer vision and graphics: Image Colorization Interactive rotoscoping Medical imageDavid G. Lowe (186 words) [view diff] no match in snippet view article find links to article
York University. Lowe is a researcher in computer vision, and is the author of the patented scale-invariant feature transform (SIFT), one of the most popularPipeline Pilot (846 words) [view diff] no match in snippet view article find links to article
Performance of Extended Connectivity Fingerprints through Activity-Oriented Feature Filtering and Application of a Bit-Density-Dependent Similarity Function"Robert Haralick (2,324 words) [view diff] no match in snippet view article find links to article
University of New York (CUNY). Haralick is one of the leading figures in computer vision, pattern recognition, and image analysis. He is a Fellow of the Institute3D scanning (10,102 words) [view diff] no match in snippet view article find links to article
; Granum, Erik (1 March 2001). "A Survey of Computer Vision-Based Human Motion Capture". Computer Vision and Image Understanding. 81 (3): 231–268. CiteSeerX 10Active contour model (4,058 words) [view diff] no match in snippet view article find links to article
Active contour model, also called snakes, is a framework in computer vision introduced by Michael Kass, Andrew Witkin, and Demetri Terzopoulos for delineatingConstellation model (3,960 words) [view diff] no match in snippet view article find links to article
probabilistic, generative model for category-level object recognition in computer vision. Like other part-based models, the constellation model attempts toCuboid (computer vision) (645 words) [view diff] no match in snippet view article
In computer vision, the term cuboid is used to describe a small spatiotemporal volume extracted for purposes of behavior recognition. The cuboid is regardedActivity recognition (5,157 words) [view diff] no match in snippet view article find links to article
(2020). "High-Speed Multi-Person Pose Estimation with Deep Feature Transfer". Computer Vision and Image Understanding. 197–198. Elsevier: 103010. doi:10Saliency map (2,036 words) [view diff] no match in snippet view article find links to article
In computer vision, a saliency map is an image that highlights either the region on which people's eyes focus first or the most relevant regions for machineZero-shot learning (1,392 words) [view diff] no match in snippet view article find links to article
zebras look like striped horses. This problem is widely studied in computer vision, natural language processing, and machine perception. The first paperThomas Huang (3,299 words) [view diff] no match in snippet view article find links to article
at Urbana-Champaign (UIUC). Huang was one of the leading figures in computer vision, pattern recognition and human computer interaction. Huang was bornError-driven learning (1,933 words) [view diff] no match in snippet view article find links to article
Error-driven learning has widespread applications in cognitive sciences and computer vision. These methods have also found successful application in natural languageColor histogram (2,241 words) [view diff] no match in snippet view article find links to article
of local feature regions" Springer Netherlands, 2009 ISSN 1573-7721 Anatomy of a color histogram; Novak, C.L.; Shafer, S.A.; Computer Vision and PatternBioimage informatics (2,348 words) [view diff] no match in snippet view article find links to article
has been an increasing focus on developing novel image processing, computer vision, data mining, database and visualization techniques to extract, compareStructured-light 3D scanner (2,746 words) [view diff] no match in snippet view article find links to article
structured light uses structured light without interfering with other computer vision tasks for which the projected pattern will be confusing. Example methodsLearning to rank (4,442 words) [view diff] no match in snippet view article find links to article
accessible for enterprise search. Similar to recognition applications in computer vision, recent neural network based ranking algorithms are also found to beLearning to rank (4,442 words) [view diff] no match in snippet view article find links to article
accessible for enterprise search. Similar to recognition applications in computer vision, recent neural network based ranking algorithms are also found to beGraphical model (1,278 words) [view diff] no match in snippet view article find links to article
include causal inference, information extraction, speech recognition, computer vision, decoding of low-density parity-check codes, modeling of gene regulatoryStructured prediction (773 words) [view diff] no match in snippet view article find links to article
bioinformatics, natural language processing (NLP), speech recognition, and computer vision. Sequence tagging is a class of problems prevalent in NLP in whichRegion Based Convolutional Neural Networks (1,017 words) [view diff] no match in snippet view article find links to article
perform selective search over feature maps outputted by a CNN. R-CNN has been extended to perform other computer vision tasks, such as: tracking objectsImage fusion (1,807 words) [view diff] no match in snippet view article find links to article
appropriate and understandable for the human and machine perception. In computer vision, multisensor image fusion is the process of combining relevant informationEvolution Robotics (454 words) [view diff] no match in snippet view article find links to article
Pasadena, California. It specialized in robotics technologies, with computer vision, localization, and autonomous navigation products. Evolution RoboticsEigenmoments (3,095 words) [view diff] no match in snippet view article find links to article
sensitive moments. Their application can be found in signal processing and computer vision as descriptors of the signal or image. The descriptors can later beHartmut Neven (1,420 words) [view diff] no match in snippet view article find links to article
1964) is a German American scientist working in quantum computing, computer vision, robotics and computational neuroscience. He is best known for hisSurvival game (1,919 words) [view diff] no match in snippet view article find links to article
Kohei; Kapoor, Supriya (23 April 2019). Advances in Computer Vision: Proceedings of the 2019 Computer Vision Conference (CVC), Volume 2. Springer Science+BusinessIntel RealSense (1,468 words) [view diff] no match in snippet view article find links to article
RealSense. Retrieved April 14, 2018. "Intel And Qualcomm Battle To Bring Computer Vision Into Phones And Drones". Forbes. August 10, 2023. Archived from theM-theory (learning framework) (4,143 words) [view diff] no match in snippet view article
In machine learning and computer vision, M-theory is a learning framework inspired by feed-forward processing in the ventral stream of visual cortex andFeature detection (88 words) [view diff] no match in snippet view article find links to article
a "feature detection column" Feature detection (computer vision), methods for finding parts of an image relevant to a computational task Feature detectionOrCam device (1,465 words) [view diff] no match in snippet view article find links to article
entered "into the user’s ear." Face-recognition is also part of OrCam's feature set. OrCam Technologies Ltd has created three devices; OrCam MyEye 2.0Non-negative matrix factorization (7,780 words) [view diff] no match in snippet view article find links to article
approximated numerically. NMF finds applications in such fields as astronomy, computer vision, document clustering, missing data imputation, chemometrics, audioShakey the robot (1,265 words) [view diff] no match in snippet view article find links to article
points; the Hough transform, which is a feature extraction technique used in image analysis, computer vision, and digital image processing; and the visibilityOutline of machine learning (3,386 words) [view diff] no match in snippet view article find links to article
Applications of machine learning Bioinformatics Biomedical informatics Computer vision Customer relationship management Data mining Earth sciences Email filteringIris recognition (6,109 words) [view diff] no match in snippet view article find links to article
basis for iris recognition and its underlying computer vision algorithms for image processing, feature extraction, and matching, and published them inStyleGAN (1,854 words) [view diff] no match in snippet view article find links to article
Generative Adversarial Networks" (PDF). 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 4396–4405. arXiv:1812.04948GenICam (501 words) [view diff] no match in snippet view article find links to article
configure the camera and details how to access and control cameras; Standard Feature Naming Convention (SFNC): This is the recommended names and types for commonShape context (2,858 words) [view diff] no match in snippet view article find links to article
"Matching Shapes" (PDF). Eighth IEEE International Conference on Computer Vision (July 2001). S. Belongie; J. Malik & J. Puzicha (2000). "Shape Context:Anomaly detection (4,419 words) [view diff] no match in snippet view article find links to article
Transformation". 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE. pp. 1908–1918. doi:10.1109/WACV51458.2022.00197. ISBN 978-1-6654-0915-5Inception (deep learning architecture) (1,144 words) [view diff] no match in snippet view article
Inception is a family of convolutional neural network (CNN) for computer vision, introduced by researchers at Google in 2014 as GoogLeNet (later renamedConnected-component labeling (3,190 words) [view diff] no match in snippet view article find links to article
confused with segmentation. Connected-component labeling is used in computer vision to detect connected regions in binary digital images, although colorMotion analysis (1,774 words) [view diff] no match in snippet view article find links to article
Motion analysis is used in computer vision, image processing, high-speed photography and machine vision that studies methods and applications in whichArtificial intelligence for video surveillance (3,618 words) [view diff] no match in snippet view article find links to article
v t e Computer vision Categories Datasets Digital geometry Commercial systems Feature detection Geometry Image sensor technology Learning Morphology MotionDorin Comaniciu (881 words) [view diff] no match in snippet view article find links to article
Innovation at Siemens Healthcare. Comaniciu is known for his work in computer vision, medical imaging and machine learning. His academic publications haveEpiphan Video (352 words) [view diff] no match in snippet view article find links to article
was founded in 2003. As of 2020, it is a member of the SRT alliance. "Feature comparison table for the world's best VGA and DVI frame grabbers ScreenVideo super-resolution (6,510 words) [view diff] no match in snippet view article find links to article
super-resolution and beyond." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021. Kim, S. P.; Bose, N. K.; ValenzuelaActive vision (1,905 words) [view diff] no match in snippet view article find links to article
An area of computer vision is active vision, sometimes also called active computer vision. An active vision system is one that can manipulate the viewpointNeural gas (1,807 words) [view diff] no match in snippet view article find links to article
Kenneth (2005). "Computer Vision for Biomedical Image Applications". In Yanxi Liu; Tianzi Jiang; Changshui Zhang (eds.). Computer vision for biomedicalMatti Pietikäinen (academic) (1,176 words) [view diff] no match in snippet view article
Analysis, University of Oulu. His research interests are in texture-based computer vision, face analysis, affective computing, biometrics, and vision-based perceptualVideo motion analysis (662 words) [view diff] no match in snippet view article find links to article
v t e Computer vision Categories Datasets Digital geometry Commercial systems Feature detection Geometry Image sensor technology Learning Morphology MotionMark Nixon (academic) (1,349 words) [view diff] no match in snippet view article
offices. Nixon has authored 4 books including Feature Extraction and Image Processing for Computer Vision , Human Identification based on Gait and IntroductoryComputational learning theory (865 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eSpatial verification (642 words) [view diff] no match in snippet view article find links to article
local characteristics of scale, rotation and translation invariant, each feature coincidence gives a hypothesis alignment for scaling, translation and orientationMeVisLab (2,854 words) [view diff] no match in snippet view article find links to article
Division of Image Processing (LKEB), Leiden University Medical Center, NL Computer Vision Laboratory, ETH Zurich, CH Institut für Simulation und Graphik, UniversitätConference on Neural Information Processing Systems (1,236 words) [view diff] no match in snippet view article find links to article
fields represented at NeurIPS include cognitive science, psychology, computer vision, statistical linguistics, and information theory. Over the years, NeurIPSPart-based models (977 words) [view diff] no match in snippet view article find links to article
Cohen, David S. (1992). "Feature extraction from faces using deformable templates". International Journal of Computer Vision. 8 (2): 99. doi:10.1007/BF00127169Point Cloud Library (3,258 words) [view diff] no match in snippet view article find links to article
processing, such as occur in three-dimensional computer vision. The library contains algorithms for filtering, feature estimation, surface reconstruction, 3DMargarita Chli (2,061 words) [view diff] no match in snippet view article find links to article
Lab at ETH Zürich in Switzerland. Chli is a leader in the field of computer vision and robotics and was on the team of researchers to develop the firstHigher-order singular value decomposition (4,242 words) [view diff] no match in snippet view article find links to article
of the matrix singular value decomposition. It has applications in computer vision, computer graphics, machine learning, scientific computing, and signalGaussian blur (2,373 words) [view diff] no match in snippet view article find links to article
illumination. Gaussian smoothing is also used as a pre-processing stage in computer vision algorithms in order to enhance image structures at different scales—seeAndrew Fitzgibbon (engineer) (579 words) [view diff] no match in snippet view article
Andrew Fitzgibbon FREng FRS (born 1968) is an Irish researcher in computer vision. Since 2022, he has worked at Graphcore. Fitzgibbon went to school atComputer graphics (8,842 words) [view diff] no match in snippet view article find links to article
photography, scientific visualization, computational geometry and computer vision, among others. The overall methodology depends heavily on the underlyingColor normalization (1,905 words) [view diff] no match in snippet view article find links to article
Color normalization is a topic in computer vision concerned with artificial color vision and object recognition. In general, the distribution of colorInspecVision (930 words) [view diff] no match in snippet view article find links to article
Mallusk, Northern Ireland. It is a manufacturing company that produces computer vision inspection systems. The company is one of several local companies createdInternational Conference on Learning Representations (272 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eSimilarity learning (1,523 words) [view diff] no match in snippet view article find links to article
approaches for face identification" (PDF). IEEE International Conference on Computer Vision (ICCV). Mignon, A.; Jurie, F. (2012). "PCCA: A new approach for distanceNoise reduction (4,522 words) [view diff] no match in snippet view article find links to article
often used in computer vision applications. The main aim of an image denoising algorithm is to achieve both noise reduction and feature preservation usingInspecVision (930 words) [view diff] no match in snippet view article find links to article
Mallusk, Northern Ireland. It is a manufacturing company that produces computer vision inspection systems. The company is one of several local companies createdComputer science (6,673 words) [view diff] no match in snippet view article find links to article
learning found in humans and animals. Within artificial intelligence, computer vision aims to understand and process image and video data, while naturalForeground detection (4,153 words) [view diff] no match in snippet view article find links to article
Foreground detection is one of the major tasks in the field of computer vision and image processing whose aim is to detect changes in image sequencesTomasi–Kanade factorization (615 words) [view diff] no match in snippet view article find links to article
under orthography: a factorization method". International Journal of Computer Vision. 9 (2): 137–154. CiteSeerX 10.1.1.131.9807. doi:10.1007/BF00129684Digital art (3,712 words) [view diff] no match in snippet view article find links to article
Analyzed by Computer Vision: Supplementary Material". Proceedings of the European Conference on Computer Vision (ECCV) Workshops – via Computer Vision FoundationVision processing unit (725 words) [view diff] no match in snippet view article find links to article
Versatile Processor Unit (VPU) built-in for accelerating inference for computer vision and deep learning. Adapteva Epiphany, a manycore processor with similarFeature selection (6,925 words) [view diff] no match in snippet view article find links to article
Cristani, M. (2015-12-01). "Infinite Feature Selection". 2015 IEEE International Conference on Computer Vision (ICCV). pp. 4202–4210. doi:10.1109/ICCVAutomated machine learning (1,046 words) [view diff] no match in snippet view article find links to article
may have to apply appropriate data pre-processing, feature engineering, feature extraction, and feature selection methods. After these steps, practitionersGeneral-purpose computing on graphics processing units (7,033 words) [view diff] no match in snippet view article find links to article
pipelines can also vastly improve efficiency in image processing and computer vision, among other fields; as well as parallel processing generally. SomeInternational Conference on Machine Learning (377 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eVolumetric capture (3,272 words) [view diff] no match in snippet view article find links to article
Ferrari; Martial Hebert; Cristian Sminchisescu; Yair Weiss (2018). Computer Vision -- ECCV 2018: 15th European Conference, Munich, Germany, SeptemberARToolKit (695 words) [view diff] no match in snippet view article find links to article
position and orientation relative to square physical markers or natural feature markers in real time. Once the real camera position is known a virtualACM Multimedia (822 words) [view diff] no match in snippet view article find links to article
Vedaldi, Brian Fulkerson, VLFeat – An open and portable library of computer vision algorithms – VLFeat Rob Hess, An Open-Source SIFT Library – Open-SourceHessian (233 words) [view diff] no match in snippet view article find links to article
partial derivatives Hessian affine region detector, a feature detector used in the fields of computer vision and image analysis Hessian automatic differentiationGenerative adversarial network (13,881 words) [view diff] no match in snippet view article find links to article
(2017). "Image-to-Image Translation with Conditional Adversarial Nets". Computer Vision and Pattern Recognition. Ho, Jonathon; Ermon, Stefano (2016). "Generative4D reconstruction (431 words) [view diff] no match in snippet view article find links to article
In computer vision and computer graphics, 4D reconstruction is the process of capturing the shape and appearance of real objects along a temporal dimensionHawk-Eye (5,499 words) [view diff] no match in snippet view article find links to article
Hawk-Eye is a computer vision system used to visually track the trajectory of a ball and display a profile of its statistically most likely path as aPhyCV (1,403 words) [view diff] no match in snippet view article find links to article
PhyCV is the first computer vision library which utilizes algorithms directly derived from the equations of physics governing physical phenomena. TheGaussian filter (2,889 words) [view diff] no match in snippet view article find links to article
L. G. & Stockman, G. C: "Computer Vision", page 137, 150. Prentence Hall, 2001 Mark S. Nixon and Alberto S. Aguado. Feature Extraction and Image ProcessingGradient vector flow (3,232 words) [view diff] no match in snippet view article find links to article
Gradient vector flow (GVF), a computer vision framework introduced by Chenyang Xu and Jerry L. Prince, is the vector field that is produced by a processObject categorization from image search (2,489 words) [view diff] no match in snippet view article find links to article
In computer vision, object categorization from image search is the problem of training a classifier to recognize categories of objects using only imageSelf-play (504 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eVirtual mirror (318 words) [view diff] no match in snippet view article find links to article
actually wearing the contact lenses. Virtual mirrors usually utilize computer vision, face detection and face tracking technologies to analyze visual patternsMichael Lew (526 words) [view diff] no match in snippet view article find links to article
scientific articles in the areas of content based image retrieval, computer vision, and deep learning. Notably, he had the most cited paper in the ACMRestricted Boltzmann machine (2,364 words) [view diff] no match in snippet view article find links to article
Boltzmann Machines", Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Lecture Notes in Computer Science, vol. 7441, BerlinAnil K. Jain (computer scientist, born 1948) (1,095 words) [view diff] no match in snippet view article
known for his contributions in the fields of pattern recognition, computer vision and biometric recognition. He is among the top few most highly citedObjective vision (909 words) [view diff] no match in snippet view article find links to article
(Object Oriented Visionary) is a project mainly aimed at real-time computer vision and simulation vision of living creatures. it has three sections containingSegmentation-based object categorization (1,901 words) [view diff] no match in snippet view article find links to article
(1997): "Normalized Cuts and Image Segmentation", IEEE Conference on Computer Vision and Pattern Recognition, pp 731–737 "Spectral Clustering — scikit-learnDepartment of Engineering Science, University of Oxford (1,926 words) [view diff] no match in snippet view article find links to article
Oxford Robotics Institute, a leading centre for research in robotics, computer vision, and autonomous systems. It has produced influential work in simultaneousPascal Vitali Fua (474 words) [view diff] no match in snippet view article find links to article
(2010). Yi, Kwang, et al. "LIFT: Learned Invariant Feature Transform." European Conference on Computer Vision (2016). Berclaz, Jérôme et al. "Multiple objectBin picking (332 words) [view diff] no match in snippet view article find links to article
picking (also referred to as random bin picking) is a core problem in computer vision and robotics. The goal is to have a robot with sensors and camerasEarth mover's distance (2,191 words) [view diff] no match in snippet view article find links to article
applications to image databases". Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271). Narosa Publishing House. pp. 59–66. doi:10Multiclass classification (1,476 words) [view diff] no match in snippet view article find links to article
augmentation strategies from data". Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Kabir, H M Dipu (2023). "Reduction of classList of free and open-source software packages (5,398 words) [view diff] no match in snippet view article find links to article
license AForge.NET – computer vision, artificial intelligence and robotics library for the .NET framework OpenCV – computer vision library in C++ See ListFigure-ground (cartography) (1,329 words) [view diff] no match in snippet view article
development of computer vision for robots. By studying the way humans perceive figure and ground, methods can be developed to improve computer vision algorithmsClosed-circuit television (9,773 words) [view diff] no match in snippet view article find links to article
cameras' resolution typically does not exceed 20 megapixels. The main feature of a PTZ is its remote directional and optical zoom capability. With multi-sensorEye tracking (9,150 words) [view diff] no match in snippet view article find links to article
cannot provide exact gaze direction because there is no specific anatomical feature that marks the exact point where the visual axis meets the retina, if indeedAttention (machine learning) (3,424 words) [view diff] no match in snippet view article
, 2017). Attention is widely used in natural language processing, computer vision, and speech recognition. In NLP, it improves context understandingDysmorphic feature (800 words) [view diff] no match in snippet view article find links to article
delineation of syndromic disorders. In the recent years advances in computer vision have also resulted in several deep learning approaches that assistKernel method (1,670 words) [view diff] no match in snippet view article find links to article
representation have to be explicitly transformed into feature vector representations via a user-specified feature map: in contrast, kernel methods require onlyYaDICs (2,141 words) [view diff] no match in snippet view article find links to article
Dormont, X. Pennec, and N. Ayache, "Iconic feature based nonrigid registration: the \PASHA\ algorithm," Computer vision and image understanding, vol. 89, issueGraph neural network (4,593 words) [view diff] no match in snippet view article find links to article
defined graphs. A convolutional neural network layer, in the context of computer vision, can be considered a GNN applied to graphs whose nodes are pixels andBirchfield–Tomasi dissimilarity (946 words) [view diff] no match in snippet view article find links to article
In computer vision, the Birchfield–Tomasi dissimilarity is a pixelwise image dissimilarity measure that is robust with respect to sampling effects. InJump flooding algorithm (1,273 words) [view diff] no match in snippet view article find links to article
properties which make them useful for scientific computing. In the computer vision domain, the JFA has inspired new belief propagation algorithms to accelerateReasoning system (1,945 words) [view diff] no match in snippet view article find links to article
event processing, intrusion detection, predictive analytics, robotics, computer vision, and natural language processing. The first reasoning systems wereReasoning system (1,945 words) [view diff] no match in snippet view article find links to article
event processing, intrusion detection, predictive analytics, robotics, computer vision, and natural language processing. The first reasoning systems wereGeoffrey Hinton (5,598 words) [view diff] no match in snippet view article find links to article
for the ImageNet challenge 2012 was a breakthrough in the field of computer vision. Hinton received the 2018 Turing Award, often referred to as the "NobelCrystallographic image processing (4,105 words) [view diff] no match in snippet view article find links to article
and applied crystallography communities. Contemporary robotics and computer vision researchers also deal with the topic of "computational symmetry", butNTU RGB-D dataset (363 words) [view diff] no match in snippet view article find links to article
(2018). "Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points". arXiv:1802.07898 [cs.CV]. Liu, Jun; Shahroudy, Amir; Xu, Dong;Feature engineering (2,183 words) [view diff] no match in snippet view article find links to article
Feature engineering is a preprocessing step in supervised machine learning and statistical modeling which transforms raw data into a more effective setGlossary of artificial intelligence (29,481 words) [view diff] no match in snippet view article find links to article
occurrence of each word is used as a feature for training a classifier. bag-of-words model in computer vision In computer vision, the bag-of-words model (BoWSignal processing (2,277 words) [view diff] no match in snippet view article find links to article
processing has been applied with success in the field of image processing, computer vision and sound anomaly detection. Audio signal processing – for electricalDecision stump (508 words) [view diff] no match in snippet view article find links to article
"Robust Real-Time Face Detection" (PDF). International Journal of Computer Vision. 57 (2): 137–154. doi:10.1023/B:VISI.0000013087.49260.fb. S2CID 2796017Affective computing (6,396 words) [view diff] no match in snippet view article find links to article
a person makes a facial expression furrowing their brow, then the computer vision system might be taught to label their face as appearing "confused"Multi-agent reinforcement learning (3,030 words) [view diff] no match in snippet view article find links to article
Broadband cellular networks such as 5G Content caching Packet routing Computer vision Network security Transmit power control Computation offloading LanguageCURE algorithm (788 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eGoogle Lens (1,086 words) [view diff] no match in snippet view article find links to article
(October 4, 2017). "Pixel 2 Owners Get the First Glimpse of Google Lens Computer Vision Possibilities". Digital Trends. Retrieved October 13, 2017. Li, AbnerNeural architecture search (2,980 words) [view diff] no match in snippet view article find links to article
features learned from image classification can be transferred to other computer vision problems. E.g., for object detection, the learned cells integratedSparse dictionary learning (3,499 words) [view diff] no match in snippet view article find links to article
(2013-05-01). "Comparison of mid-level feature coding approaches and pooling strategies in visual concept detection". Computer Vision and Image Understanding. 117Local ternary patterns (258 words) [view diff] no match in snippet view article find links to article
patterns Xiaoyang Tan; Triggs, Bill (June 2010). "Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions". IEEE TransactionsViBe (753 words) [view diff] no match in snippet view article find links to article
and improvements for ViBe". 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. pp. 32–37. doi:10.1109/CVPRW.2012Curse of dimensionality (4,182 words) [view diff] no match in snippet view article find links to article
for face recognition and clustering" (PDF). 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 815–823. arXiv:1503.03832. doi:10Local outlier factor (1,634 words) [view diff] no match in snippet view article find links to article
exist extensions of LOF that try to improve over LOF in these aspects: Feature Bagging for Outlier Detection runs LOF on multiple projections and combinesSmart data capture (676 words) [view diff] no match in snippet view article find links to article
capture', describes the branch of technology concerned with using computer vision techniques like optical character recognition (OCR), barcode scanningPhase stretch transform (1,769 words) [view diff] no match in snippet view article find links to article
in PhyCV: the first physics-inspired computer vision library. Edge detection Feature detection (computer vision) Time stretch analog-to-digital converterPrincipal component analysis (14,851 words) [view diff] no match in snippet view article find links to article
Oja's rule Point distribution model (PCA applied to morphometry and computer vision) Principal component analysis (Wikibooks) Principal component regressionAlan Yuille (1,148 words) [view diff] no match in snippet view article find links to article
PW Hallinan, DS Cohen, Feature extraction from faces using deformable templates, in: International Journal of Computer Vision. Vol. 8, nº 2; 99-111. 2004Relevance vector machine (425 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eAlbumentations (429 words) [view diff] no match in snippet view article find links to article
provide a flexible and efficient framework for data augmentation in computer vision tasks. Data augmentation is a technique that involves artificiallyAutomatic summarization (6,825 words) [view diff] no match in snippet view article find links to article
document. On the other hand, visual content can be summarized using computer vision algorithms. Image summarization is the subject of ongoing research;Xiuping Jia (219 words) [view diff] no match in snippet view article find links to article
Wales. Jia was named a Fellow of the IEEE in 2021, "for contributions to feature mining and classification of hyperspectral images". "Associate ProfessorDifferentiable programming (1,014 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eGated recurrent unit (1,278 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eEvolutionary image processing (442 words) [view diff] no match in snippet view article find links to article
computationally intensive process. Evolutionary computer vision (ECV) is an application of EIP for computer vision. It has been shown that genetic programmingSelf-similarity matrix (530 words) [view diff] no match in snippet view article find links to article
"Cross-View Action Recognition from Temporal Self-similarities". Computer Vision – ECCV 2008. Lecture Notes in Computer Science. Vol. 5303. pp. 293–306State–action–reward–state–action (716 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eOne shot (323 words) [view diff] no match in snippet view article find links to article
OneShot, a 2016 metafictional adventure video game One-shot learning in computer vision Monostable or one shot, a type of electronic circuit Programmable intervalVisual perception (4,407 words) [view diff] no match in snippet view article find links to article
of visual perception have been the main source of inspiration for computer vision (also called machine vision, or computational vision). Special hardwareBent Image Lab (2,402 words) [view diff] no match in snippet view article find links to article
augmented reality (AR) technology and plans to launch their convergent computer vision library in fall of 2019. Bent Image Lab is known largely for its stopMichael Brady (biomedical engineer) (1,752 words) [view diff] no match in snippet view article
influential Kadir–Brady saliency detector at the European Conference on Computer Vision in 2004. During his research career, Brady has supervised studentsNeural radiance field (2,619 words) [view diff] no match in snippet view article find links to article
precisely manipulate a transparent wine glass; a task where traditional computer vision would struggle. NeRFs can also generate photorealistic human facesWeak supervision (3,038 words) [view diff] no match in snippet view article find links to article
Propagation for Deep Semi-Supervised Learning". 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 5065–5074. arXiv:1904.04717. doi:10Bidirectional texture function (500 words) [view diff] no match in snippet view article find links to article
Material Appearance Measurement, Representation and Modeling. Advances in Computer Vision and Pattern Recognition. Springer-Verlag London 2013. p. 285. ISBN 978-1-4471-4901-9Face detection (943 words) [view diff] no match in snippet view article find links to article
determine who is speaking which is needed when security is important. Computer vision Face ID Pedestrian detection Picasa SceneTap Super recogniser Three-dimensionalVisual spatial attention (4,280 words) [view diff] no match in snippet view article find links to article
attention modules have been widely implemented in video analytics in computer vision to provide enhanced performance and human interpretable explanationFatigue detection software (3,751 words) [view diff] no match in snippet view article find links to article
higher rates of false alarms and missed instances of impairment. The computer vision system utilises an unobtrusive dashboard mounted camera and two infra-redMagic Leap (2,359 words) [view diff] no match in snippet view article find links to article
reported to be working on projects relating to augmented reality and computer vision), it raised more than $540 million of venture funding from Google,Handwriting recognition (2,313 words) [view diff] no match in snippet view article find links to article
Multi-column Deep Neural Networks for Image Classification. IEEE Conf. on Computer Vision and Pattern Recognition CVPR 2012. LeCun, Y., Bottou, L., Bengio, YSupervised learning (3,005 words) [view diff] no match in snippet view article find links to article
retrieval Learning to rank Information extraction Object recognition in computer vision Optical character recognition Spam detection Pattern recognition SpeechScandinavian Conference on Image Analysis (903 words) [view diff] no match in snippet view article find links to article
series was established by pattern recognition, image analysis and computer vision pioneers in the universities of the Nordic countries, but has becomeHuman-in-the-loop (978 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eClifford algebra (9,287 words) [view diff] no match in snippet view article find links to article
applied in the problem of action recognition and classification in computer vision. Rodriguez et al propose a Clifford embedding to generalize traditionalBranch and bound (2,432 words) [view diff] no match in snippet view article find links to article
knapsack problem Set cover problem Feature selection in machine learning Structured prediction in computer vision: 267–276 Arc routing problem, includingWaveNet (1,699 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eList of datasets in computer vision and image processing (7,847 words) [view diff] no match in snippet view article find links to article
(Downs et al., 2022) for a review of more datasets as of 2022. In computer vision, face images have been used extensively to develop facial recognitionDeeplearning4j (1,378 words) [view diff] no match in snippet view article find links to article
v t e Computer vision Categories Datasets Digital geometry Commercial systems Feature detection Geometry Image sensor technology Learning Morphology MotionApifresh (1,683 words) [view diff] no match in snippet view article find links to article
guidelines for beekeep[citation needed] Development of a low-cost computer vision based decision support system for the identification of pollen vegetalIsabelle Guyon (1,492 words) [view diff] no match in snippet view article find links to article
open problems in machine learning, including computer vision, neurosciences, particle physics, feature selection, causality and automated machine learningSpectral shape analysis (1,488 words) [view diff] no match in snippet view article find links to article
kernel signature: A quantum mechanical approach to shape analysis". Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on.Loss functions for classification (4,212 words) [view diff] no match in snippet view article find links to article
the design of robust classifiers for computer vision". 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. pp. 779–786.Embedding (machine learning) (258 words) [view diff] no match in snippet view article
tasks like NLP, computer vision, or recommendation systems. This dual role enhances model efficiency and accuracy by automating feature extraction andString kernel (885 words) [view diff] no match in snippet view article find links to article
String Kernels", Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Lecture Notes in Computer Science, vol. 5856, pStructured sparsity regularization (3,812 words) [view diff] no match in snippet view article find links to article
Perona; Yoichi Sato; Cordelia Schmid (eds.). Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012 ProceedingsFeature scaling (1,041 words) [view diff] no match in snippet view article find links to article
Feature scaling is a method used to normalize the range of independent variables or features of data. In data processing, it is also known as data normalizationProbably approximately correct learning (907 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eBIRCH (2,275 words) [view diff] no match in snippet view article find links to article
the second of which is optional. The first phase builds a clustering feature ( C F {\displaystyle CF} ) tree out of the data points, a height-balancedLog Gabor filter (2,169 words) [view diff] no match in snippet view article find links to article
transform Gabor wavelet Gabor filter Gabor atom Feature detection (computer vision) for other low-level feature detectors Image derivative Image noise reductionICPRAM (2,059 words) [view diff] no match in snippet view article find links to article
For example, the conference had a tutorial on Secure our society - Computer Vision Techniques for Video Surveillance given by Huiyu Zhou from the Queen'sHeat kernel signature (2,370 words) [view diff] no match in snippet view article find links to article
Mechanical Approach to Shape Analysis". IEEE International Conference on Computer Vision (ICCV) - Workshop on Dynamic Shape Capture and Analysis (4DMOD).{{citeLearning curve (machine learning) (749 words) [view diff] no match in snippet view article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eScan (company) (870 words) [view diff] no match in snippet view article
physical codes such as QR codes, NFC, and machine-recognizable images (Computer Vision). Scan's website allows for the creation of QR codes as well as targetedAutomatic number-plate recognition (10,679 words) [view diff] no match in snippet view article find links to article
or state taxes or fines. The technology is often featured in the reality TV show Parking Wars featured on A&E Network. In the show, tow truck drivers andLogistic model tree (220 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eCompound eye (1,220 words) [view diff] no match in snippet view article find links to article
Archived from the original on 2008-10-01. Biologically Inspired Computer Vision: Fundamentals and Applications Gaten, Edward (1998). "Optics and phylogeny:Three-dimensional face recognition (727 words) [view diff] no match in snippet view article find links to article
(2005). "Three-dimensional face recognition". International Journal of Computer Vision. 64 (1): 5–30. CiteSeerX 10.1.1.77.9592. doi:10.1007/s11263-005-1085-yElastix (image registration) (1,766 words) [view diff] no match in snippet view article
Medical Image Registration. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. pp. 134–142. Zitová, Barbara;Biometrics (8,238 words) [view diff] no match in snippet view article find links to article
, eds. (2014). "Handbook of Biometric Anti-Spoofing". Advances in Computer Vision and Pattern Recognition. doi:10.1007/978-1-4471-6524-8. ISBN 978-1-4471-6523-1Bootstrap aggregating (2,430 words) [view diff] no match in snippet view article find links to article
that exhibits Feature 1, but not Feature 2, will be given a "No". Another point that does not exhibit Feature 1, but does exhibit Feature 3, will be givenIncremental learning (603 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eAmazon Echo Show (1,888 words) [view diff] no match in snippet view article find links to article
screen which can rotate around it, with voice direction detection and computer vision human detection. The Echo Show 5 was updated in June 2021 with an improvedImage editing (3,491 words) [view diff] no match in snippet view article find links to article
vectorizing a raster image is the focus of much research in the field of computer vision. Vector images can be modified more easily because they contain descriptionsVisualRank (388 words) [view diff] no match in snippet view article find links to article
the International World Wide Web Conference in Beijing in 2008. Both computer vision techniques and locality-sensitive hashing (LSH) are used in the VisualRankSnapchat (13,725 words) [view diff] no match in snippet view article find links to article
Android downloads starting from 2012. Snapchat acquired AI Factory, a computer vision startup, in January 2020 to give a boost to its video capabilitiesTransfer learning (1,637 words) [view diff] no match in snippet view article find links to article
domains and tasks. A domain D {\displaystyle {\mathcal {D}}} consists of: a feature space X {\displaystyle {\mathcal {X}}} and a marginal probability distributionData augmentation (1,772 words) [view diff] no match in snippet view article find links to article
Ruslan R. (2012). "Improving neural networks by preventing co-adaptation of feature detectors". arXiv:1207.0580 [cs.NE]. Cagli, Eleonora; Dumas, Cécile; ProuffArtificial intelligence (28,679 words) [view diff] no match in snippet view article find links to article
sonar, radar, and tactile sensors) to deduce aspects of the world. Computer vision is the ability to analyze visual input. The field includes speech recognitionGabor filter (2,530 words) [view diff] no match in snippet view article find links to article
log-Gabors for still images Gabor filter for image processing and computer vision (demonstration) Archived 2018-05-29 at the Wayback Machine FeichtingerRank SIFT (823 words) [view diff] no match in snippet view article find links to article
Data Mining Toews, M.; Wells, W."SIFT-Rank: Ordinal Description for Invariant Feature Correspondence", Computer Vision and Pattern Recognition, 2009.David H. Hubel (1,397 words) [view diff] no match in snippet view article find links to article
inspiration for the SIFT descriptor (Lowe, 1999), which is a local feature used in computer vision for tasks such as object recognition and wide-baseline matchingMobileNet (910 words) [view diff] no match in snippet view article find links to article
architectures designed for image classification, object detection, and other computer vision tasks. They are designed for small size, low latency, and low powerMonocular vision (1,680 words) [view diff] no match in snippet view article find links to article
monocular depth estimation with left-right consistency" (PDF). Proc. Computer Vision and Pattern Recognition. Vol. 2. p. 7.{{cite book}}: CS1 maint: multipleArtificial intelligence art (9,099 words) [view diff] no match in snippet view article find links to article
Analyzed by Computer Vision: Supplementary Material". Proceedings of the European Conference on Computer Vision (ECCV) Workshops – via Computer Vision FoundationDistortion (optics) (2,782 words) [view diff] no match in snippet view article
lens distortion. OpenCV is an open-source BSD-licensed library for computer vision (multi-language, multi-OS). It features a module for camera calibrationMidjourney (3,455 words) [view diff] no match in snippet view article find links to article
removed. Midjourney released a Vary (Region) feature on September 5, 2023, as part of MidJourney V5.2. This feature allows users to select a specific area ofBigDL (57 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eStable Diffusion (6,183 words) [view diff] no match in snippet view article find links to article
called latent diffusion model (LDM), developed in 2021 by the CompVis (Computer Vision & Learning) group at LMU Munich. Stable Diffusion consists of 3 parts:Syntactic pattern recognition (411 words) [view diff] no match in snippet view article find links to article
recognition, Chen, Pau & Wang (Eds.) Handbook of pattern recognition & computer vision. World Scientific. pp. 163–209. ISBN 981-02-1136-8. Flasinski, MariuszHierarchical clustering (3,496 words) [view diff] no match in snippet view article find links to article
Svetlana; Perona, Pietro; Sato, Yoichi; Schmid, Cordelia (eds.). Computer Vision – ECCV 2012. Lecture Notes in Computer Science. Vol. 7572. SpringerGlossary of tensor theory (1,034 words) [view diff] no match in snippet view article find links to article
Tor functors These are the derived functors of the tensor product, and feature strongly in homological algebra. The name comes from the torsion subgroupSelf-organizing map (4,063 words) [view diff] no match in snippet view article find links to article
A self-organizing map (SOM) or self-organizing feature map (SOFM) is an unsupervised machine learning technique used to produce a low-dimensional (typicallyShape from focus (140 words) [view diff] no match in snippet view article find links to article
v t e Computer vision Categories Datasets Digital geometry Commercial systems Feature detection Geometry Image sensor technology Learning Morphology MotionToutiao (2,394 words) [view diff] no match in snippet view article find links to article
signaled preference for yet. Using natural language processing and computer vision, Toutiao extracts entities and keywords as features from each pieceHaar (107 words) [view diff] no match in snippet view article find links to article
wavelet Haar measure, a set-theoretic measure Haar-like feature, a technique in computer vision Haarr, people named Haarr This disambiguation page listsToutiao (2,394 words) [view diff] no match in snippet view article find links to article
signaled preference for yet. Using natural language processing and computer vision, Toutiao extracts entities and keywords as features from each pieceOntology learning (1,276 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eCityEngine (2,539 words) [view diff] no match in snippet view article find links to article
Center Zurich, continually studying in the fields of computer graphics, computer vision, software engineering, finance, marketing, and business. ArcGIS CityEngine3D rendering (1,541 words) [view diff] no match in snippet view article find links to article
sources to be rendered. Architectural rendering Ambient occlusion Computer vision Geometry pipeline Geometry processing Graphics Graphics processingNon-photorealistic rendering (2,073 words) [view diff] no match in snippet view article find links to article
abstractions techniques were developed in the early 2000s harnessing computer vision operators e.g. image salience, or segmentation operators to drive strokeProper generalized decomposition (1,469 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eKLT (92 words) [view diff] no match in snippet view article find links to article
transportation authority of Kalmar County, Sweden. Kanade–Lucas–Tomasi Feature Tracker, a computer vision algorithm Karhunen–Loève transform, a mathematical procedureLanguage model (2,368 words) [view diff] no match in snippet view article find links to article
) {\displaystyle f(w_{1},\ldots ,w_{m})} is the feature function. In the simplest case, the feature function is just an indicator of the presence ofRandom forest (6,483 words) [view diff] no match in snippet view article find links to article
as the forests are randomly restricted to be sensitive to only selected feature dimensions. A subsequent work along the same lines concluded that otherK-nearest neighbors algorithm (4,333 words) [view diff] no match in snippet view article find links to article
space. An example of a typical computer vision computation pipeline for face recognition using k-NN including feature extraction and dimension reductionVisual Turing Test (3,681 words) [view diff] no match in snippet view article find links to article
2000s saw the birth of modern computer vision. One of the reasons this happened was due to the availability of key, feature extraction and representationGeotagging (2,563 words) [view diff] no match in snippet view article find links to article
Dhiraj; Yu, Jie; Gallagher, Andrew (2011). "Geotagging in multimedia and computer vision—a survey". Multimedia Tools and Applications. 51 (1). Springer: 187–211Probabilistic classification (1,179 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eOpenShot (1,029 words) [view diff] no match in snippet view article find links to article
org. Thomas, Jonathan (25 Aug 2021). "OpenShot 2.6.0 Released - AI + Computer Vision + Audio Effects!". openshot.org. Caswell, Gord (2020-01-15). "New:Empirical risk minimization (1,618 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eGPT-2 (3,264 words) [view diff] no match in snippet view article find links to article
by Watching Movies and Reading Books". International Conference on Computer Vision 2015: 19–27. arXiv:1506.06724. Archived from the original on 2023-02-05Temporal difference learning (1,565 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eOpenStreetMap (10,533 words) [view diff] no match in snippet view article find links to article
areas and Sentinel-2 imagery, designed for feature detection and image segmentation using computer vision. Some newsrooms routinely incorporate OSM dataDecision tree learning (6,542 words) [view diff] no match in snippet view article find links to article
an input feature. The arcs coming from a node labeled with an input feature are labeled with each of the possible values of the target feature or the arcProtein tertiary structure (1,603 words) [view diff] no match in snippet view article find links to article
Farhana; Rakin, Salman (21 August 2015). "CoMOGrad and PHOG: From Computer Vision to Fast and Accurate Protein Tertiary Structure Retrieval". ScientificDeepFace (2,913 words) [view diff] no match in snippet view article find links to article
Human-Level Performance in Face Verification". 2014 IEEE Conference on Computer Vision and Pattern Recognition. IEEE. pp. 1701–1708. doi:10.1109/cvpr.2014OPTICS algorithm (2,133 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t ePhase-field models on graphs (505 words) [view diff] no match in snippet view article find links to article
scheme, to a graph setting, with analogous results. Graph cuts in computer vision Bertozzi, A.; Flenner, A. (2012-01-01). "Diffuse Interface Models onVignetting (1,030 words) [view diff] no match in snippet view article find links to article
Bing Kang, Single-Image Vignetting Correction; IEEE Conference on Computer Vision and Pattern Recognition 2006 Olsen, Doug; Dou, Changyong; Zhang, Xiaodong;Explanation-based learning (1,022 words) [view diff] no match in snippet view article find links to article
Joshi, Srinivas Bangalore, and Khalil Sima'an. One-shot learning in computer vision Zero-shot learning "Special issue on explanation in case-based reasoning"Active learning (machine learning) (2,211 words) [view diff] no match in snippet view article
the leaf nodes might represent (overlapping) partitions of the original feature space. This offers the possibility of selecting instances from non-overlappingDeep belief network (1,280 words) [view diff] no match in snippet view article find links to article
learn to probabilistically reconstruct its inputs. The layers then act as feature detectors. After this learning step, a DBN can be further trained withTypes of artificial neural networks (10,702 words) [view diff] no match in snippet view article find links to article
various perturbations) representations. Examples of applications in computer vision include DeepDream and robot navigation. They have wide applicationsTopological data analysis (10,980 words) [view diff] no match in snippet view article find links to article
Proc. SPIE, Intelligent Robots and Computer Vision X: Algorithms and Techniques. Intelligent Robots and Computer Vision X: Algorithms and Techniques. 1607:Word embedding (3,154 words) [view diff] no match in snippet view article find links to article
in meaning. Word embeddings can be obtained using language modeling and feature learning techniques, where words or phrases from the vocabulary are mappedQuestion answering (3,450 words) [view diff] no match in snippet view article find links to article
visual question answering." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018. Zhu, Linchao; Xu, Zhongwen; Yang, Yi;IEEE Visualization (1,894 words) [view diff] no match in snippet view article find links to article
Multidimensional Scaling: David Hägele, Tim Krake, Daniel Weiskopf 2021: Feature Curves and Surfaces of 3D Asymmetric Tensor Fields: Shih-Hsuan Hung, YueFarmWise (1,595 words) [view diff] no match in snippet view article find links to article
product is an automated mechanical weeder that uses a combination of AI, computer vision and robotics to pull out weeds in vegetable fields without using chemicalsReceptive field (3,057 words) [view diff] no match in snippet view article find links to article
to the original data. Since CNNs are used primarily in the field of computer vision, the data that the neurons represent is typically an image; each inputPixel Camera (3,273 words) [view diff] no match in snippet view article find links to article
pressed. The Pixel Visual Core is used to accelerate the analysis using computer vision techniques, and ranks them based on object motion, motion blur, autoOccam learning (1,710 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eIndex of robotics articles (3,462 words) [view diff] no match in snippet view article find links to article
Engineering Computer game bot Turing Test Computer science Computer software Computer vision Conceptual dependency theory Concurrent MetateM Connectionist expertTeddy Zee (1,464 words) [view diff] no match in snippet view article find links to article
ObEN, an Artificial Intelligence start-up with proprietary voice and computer vision software that humanizes technology. Other advisory roles include SmartStudyArm Holdings (6,381 words) [view diff] no match in snippet view article find links to article
in fog computing. 2016 Apical, a provider of imaging and embedded computer vision IP products Allinea Software, a leading provider of software toolsCourant Institute of Mathematical Sciences (4,450 words) [view diff] no match in snippet view article find links to article
areas such as natural language processing, the theory of computation, computer vision, software engineering, compiler optimization techniques, computer graphicsOut-of-bag error (723 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eHistory of artificial neural networks (8,627 words) [view diff] no match in snippet view article find links to article
1992. The deep learning revolution started around CNN- and GPU-based computer vision. Although CNNs trained by backpropagation had been around for decadesVoxel (3,018 words) [view diff] no match in snippet view article find links to article
Graph-Based Segmentation of RGBD Videos". 2014 IEEE Conference on Computer Vision and Pattern Recognition. pp. 344–351. arXiv:1801.08981. doi:10.1109/CVPRNearest neighbor search (3,341 words) [view diff] no match in snippet view article find links to article
recognition Statistical classification – see k-nearest neighbor algorithm Computer vision – for point cloud registration Computational geometry – see ClosestJ. K. Aggarwal (1,567 words) [view diff] no match in snippet view article find links to article
International Conference on Computer Vision (ICCV). Xia, L. and Aggarwal, J.K., 2013. Spatio-temporal depth cuboid similarity feature for activity recognitionPhotoModeler (817 words) [view diff] no match in snippet view article find links to article
acquisition and object reconstruction Image-based modeling and rendering Computer vision 3D scanner "PhotoModeler – Software for photogrammetry measurementMultistable perception (831 words) [view diff] no match in snippet view article find links to article
the concave/convex, or simply up/down, ambiguity, and it confuses computer vision as well. In literature, the science fiction novel, Dhalgren, by SamuelVoxel (3,018 words) [view diff] no match in snippet view article find links to article
Graph-Based Segmentation of RGBD Videos". 2014 IEEE Conference on Computer Vision and Pattern Recognition. pp. 344–351. arXiv:1801.08981. doi:10.1109/CVPRImage noise (3,599 words) [view diff] no match in snippet view article find links to article
ISBN 0-12-119792-1. Linda G. Shapiro; George C. Stockman (2001). Computer Vision. Prentice-Hall. ISBN 0-13-030796-3.[permanent dead link] Boncelet,PowerVR (4,880 words) [view diff] no match in snippet view article find links to article
systems (ADAS), infotainment, computer vision and advanced processing for instrument clusters. The new GPUs include new feature set enhancements with a focusNearest neighbor search (3,341 words) [view diff] no match in snippet view article find links to article
recognition Statistical classification – see k-nearest neighbor algorithm Computer vision – for point cloud registration Computational geometry – see ClosestAly Farag (364 words) [view diff] no match in snippet view article find links to article
distances using statistical inference for similarity measure". IET Computer Vision. 9 (4): 541–548. doi:10.1049/iet-cvi.2014.0011. Ismail, Marwa; ElshazlyLatent space (1,191 words) [view diff] no match in snippet view article find links to article
sentiment analysis, machine translation, and document classification. Computer vision: Image and video embeddings enable tasks like object recognition, imageGenerative design (2,345 words) [view diff] no match in snippet view article find links to article
were also integrated, including deep reinforcement learning (DRL) and computer vision (CV) to generate an urban block according to direct sunlight hoursDavid Doubilet (1,614 words) [view diff] no match in snippet view article find links to article
where he is a contributing photographer and has been an author for 70 feature articles since 1971. He was born in New York City and started taking photosPooling layer (3,383 words) [view diff] no match in snippet view article find links to article
Classification". In Leonardis, Aleš; Bischof, Horst; Pinz, Axel (eds.). Computer Vision – ECCV 2006. Vol. 3952. Berlin, Heidelberg: Springer Berlin HeidelbergLong short-term memory (5,788 words) [view diff] no match in snippet view article find links to article
Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas, NV, USA: IEEE. pp. 770–778Deepfake pornography (3,695 words) [view diff] no match in snippet view article find links to article
individual scale using a combination of machine learning algorithms, computer vision techniques, and AI software. The process began by gathering a largeAIBO (4,904 words) [view diff] no match in snippet view article find links to article
of AIBO's actuators to retrieving AIBO's camera data and performing computer vision computations. No pre-built "standard" AIBO functionality is providedKunihiko Fukushima (675 words) [view diff] no match in snippet view article find links to article
used in computer vision. In 1969 Fukushima introduced the ReLU (Rectifier Linear Unit) activation function in the context of visual feature extractionHelium release valve (1,291 words) [view diff] no match in snippet view article find links to article
A helium release valve, helium escape valve or gas escape valve is a feature found on some diving watches intended for saturation diving using heliumSupport vector machine (9,068 words) [view diff] no match in snippet view article find links to article
a higher-dimensional feature space. Thus, SVMs use the kernel trick to implicitly map their inputs into high-dimensional feature spaces, where linearOverfitting (2,843 words) [view diff] no match in snippet view article find links to article
work together to capture the underlying patterns in the data. Feature engineering: Feature engineering involves creating new model features from the existingPayel De (598 words) [view diff] no match in snippet view article find links to article
Ashour, Amira S.; Dey, Nilanjan (2018), "Medical Video Processing", Computer Vision, IGI Global, pp. 1709–1725, doi:10.4018/978-1-5225-5204-8.ch071,Perceptron (6,297 words) [view diff] no match in snippet view article find links to article
based on a linear predictor function combining a set of weights with the feature vector. The artificial neuron network was invented in 1943 by Warren McCullochNoel Monkman (237 words) [view diff] no match in snippet view article find links to article
Barrier Reef. He later made several documentaries as well as two dramatic feature films. He collaborated throughout his career with his wife Kitty. He andVGGNet (988 words) [view diff] no match in snippet view article find links to article
3, 144M parameters). The VGG family were widely applied in various computer vision areas. An ensemble model of VGGNets achieved state-of-the-art resultsImage restoration by artificial intelligence (915 words) [view diff] no match in snippet view article find links to article
provide new avenues for image restoration research and applications. Computer vision Super-resolution microscopy Image Restoration[self-published sourceComputer audition (1,656 words) [view diff] no match in snippet view article find links to article
artificial intelligence for musical knowledge representation. Like computer vision versus image processing, computer audition versus audio engineeringVanishing gradient problem (3,706 words) [view diff] no match in snippet view article find links to article
Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas, NV, USA: IEEE. pp. 770–778Peter Barham (388 words) [view diff] no match in snippet view article find links to article
Science Department at the University of Bristol, he has developed a computer vision system for the automatic recognition of African penguins. This systemNeutral Buoyancy Laboratory (563 words) [view diff] no match in snippet view article find links to article
Facility, near the Johnson Space Center in Houston, Texas. The NBL's main feature is a large indoor pool of water, in which astronauts may perform simulatedLeigh Bishop (1,037 words) [view diff] no match in snippet view article find links to article
"Identity crisis – Shipwreck feature". Divernet. Retrieved 11 July 2010. "Vodka on the Rocks – Mikhail Lermontov Shipwreck feature". Divernet. Retrieved 11Social search (3,158 words) [view diff] no match in snippet view article find links to article
Liu, Shaowei (June 2013). "Social-oriented visual image search". Computer Vision and Image Understanding. 118: 30–39. doi:10.1016/j.cviu.2013.06.011Bullet time (2,241 words) [view diff] no match in snippet view article find links to article
experience platforms. For many years, it has been possible to use computer vision techniques to capture scenes and render images of novel viewpointsReality (6,931 words) [view diff] no match in snippet view article find links to article
eliminating, and seeing through real objects". IPSJ Transactions on Computer Vision and Applications. 9 (1): 17. doi:10.1186/s41074-017-0028-1. ISSN 1882-6695Intel Galileo (1,438 words) [view diff] no match in snippet view article find links to article
multitude of modules, a Wi-Fi module, support for OpenCV to enable computer vision, ALSA for sound processing and Node.js for JavaScript capabilitiesWord2vec (3,928 words) [view diff] no match in snippet view article find links to article
be a good parameter setting. Autoencoder Document-term matrix Feature extraction Feature learning Neural network language models Vector space model ThoughtFrame rate (2,644 words) [view diff] no match in snippet view article find links to article
via structure-to-texture generation". 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 14001–14010. doi:10.1109/CVPR42600List of mergers and acquisitions by Apple (4,521 words) [view diff] no match in snippet view article find links to article
2017. Dillet, Romain (September 29, 2017). "Apple quietly acquired computer vision startup Regaind". TechCrunch. Retrieved September 29, 2017. LundenMSN (5,255 words) [view diff] no match in snippet view article find links to article
made for Microsoft's Mixer is an artificial intelligence that uses computer vision algorithms on livestreams so that it can alert the viewer of significantCuboid (disambiguation) (106 words) [view diff] no match in snippet view article
cuboid with all right angles and equal opposite faces Cuboid (computer vision), a feature used for behavior recognition in video Cuboid (video game), aTensorFlow (4,057 words) [view diff] no match in snippet view article find links to article
gradient vector of a model with respect to each of its parameters. With this feature, TensorFlow can automatically compute the gradients for the parametersGaussian splatting (1,466 words) [view diff] no match in snippet view article find links to article
3D Gaussian splatting has been adapted and extended across various computer vision and graphics applications, from dynamic scene rendering to autonomousLinear algebra (7,974 words) [view diff] no match in snippet view article find links to article
body dynamics; geodesy for describing Earth shape; perspectivity, computer vision, and computer graphics, for describing the relationship between a sceneMedia diving (912 words) [view diff] no match in snippet view article find links to article
the BBC series Planet Earth or movies, with feature films such as Titanic and The Perfect Storm featuring underwater photography or footage. Media diversCluster analysis (9,513 words) [view diff] no match in snippet view article find links to article
grouped together. This process is used in fields like medical imaging, computer vision, satellite imaging, and in daily applications like face detection andTheo Anthony (792 words) [view diff] no match in snippet view article find links to article
premiered at the 2019 New York Film Festival and examined the Hawk-Eye computer-vision system's use in officiating the sport of tennis. Subject to ReviewOutline of artificial intelligence (4,378 words) [view diff] no match in snippet view article find links to article
recognition – Computer Audition – Speech recognition – Speaker recognition – Computer vision (outline) – Image processing Intelligent word recognition – ObjectK-SVD (1,308 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eJames Z. Wang (1,270 words) [view diff] no match in snippet view article find links to article
Computer Science, vol. 3953, Proceedings of the European Conference on Computer Vision, Part III, pp. 288–301, Graz, Austria, May 2006. Yixin Chen, JinboAddress geocoding (3,771 words) [view diff] no match in snippet view article find links to article
Perth, Western Australia. With the recent advance in Deep Learning and Computer Vision, a new geocoding workflow, which leverages Object Detection techniquesMoon pool (891 words) [view diff] no match in snippet view article find links to article
A moon pool is an equipment deployment and retrieval feature used by marine drilling platforms, drillships, diving support vessels, fishing vessels, marineYuichi Motai (424 words) [view diff] no match in snippet view article find links to article
application domains such as medical imaging, pattern recognition, computer vision, sensory-based robotic and biomedical applications. The majority ofPedometer (3,366 words) [view diff] no match in snippet view article find links to article
advanced approaches to measure steps have been made with the use of computer vision. The accuracy of step counters varies widely between devices. TypicallyAesthetics (7,450 words) [view diff] no match in snippet view article find links to article
Datta, R.; Joshi, D.; Li, J.; Wang, J. (2006). "Computer Vision – ECCV 2006". Europ. Conf. on Computer Vision. Lecture Notes in Computer Science. Vol. 3953Aesthetics (7,450 words) [view diff] no match in snippet view article find links to article
Datta, R.; Joshi, D.; Li, J.; Wang, J. (2006). "Computer Vision – ECCV 2006". Europ. Conf. on Computer Vision. Lecture Notes in Computer Science. Vol. 3953Explainable artificial intelligence (7,801 words) [view diff] no match in snippet view article find links to article
Bernt; Darrell, Trevor (2016). "Generating Visual Explanations". Computer Vision – ECCV 2016. Lecture Notes in Computer Science. Vol. 9908. SpringerKeystone effect (757 words) [view diff] no match in snippet view article find links to article
where the projector must be mounted outside the frame of the screen. Homography (computer vision) Perspective control Introduction to stereo microscopyMultivector (4,882 words) [view diff] no match in snippet view article find links to article
J Lasenby (2005). "Applications of conformal geometric algebra in computer vision and graphics". In Hongbo Li; Peter J. Olver; Gerald Sommer (eds.).Boltzmann machine (3,676 words) [view diff] no match in snippet view article find links to article
fields, which find widespread application in linguistics, robotics, computer vision and artificial intelligence. In 2024, Hopfield and Hinton were awardedList of color spaces and their uses (2,087 words) [view diff] no match in snippet view article find links to article
(and color list) based on CIELab The rg chromaticity space is used in computer vision applications, and shows the color of light (red, yellow, green, etcGabor wavelet (857 words) [view diff] no match in snippet view article find links to article
Intelligence. 18 (10): 959–971. doi:10.1109/34.541406. Daugman, John. Computer Vision Lecture Series (PDF). University of Cambridge. Daugman, John. InformationProper orthogonal decomposition (678 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eUnsupervised learning (2,770 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eLabeled data (851 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eHike Messenger (5,076 words) [view diff] no match in snippet view article find links to article
User can share 100+ exclusive Hike Moji stickers to other platforms. Computer vision and deep neural networks enable the platform to search around 100 trillionGoogle Street View (4,018 words) [view diff] no match in snippet view article find links to article
Biljecki, F. (2021). "Assessing bikeability with street view imagery and computer vision". Transportation Research Part C: Emerging Technologies. 132: 103371Diffusion map (2,469 words) [view diff] no match in snippet view article find links to article
recognition" (PDF). Proceedings of the IEEE International Conference on Computer Vision 2013: 1960–1967. Zeev, Farbman; Fattal Raanan; Lischinski Dani (2010)Light field camera (2,584 words) [view diff] no match in snippet view article find links to article
K|Lens develops proprietary kaleidoscopic lens systems and AI-based computer vision solutions for high-performance 3D imaging and defect detection in sectorsMinimum spanning tree (5,460 words) [view diff] no match in snippet view article find links to article
see minimum spanning tree-based segmentation. Curvilinear feature extraction in computer vision. Handwriting recognition of mathematical expressions. CircuitDiffusion model (14,233 words) [view diff] no match in snippet view article find links to article
transformers. As of 2024[update], diffusion models are mainly used for computer vision tasks, including image denoising, inpainting, super-resolution, imageWebcam (3,642 words) [view diff] no match in snippet view article find links to article
messaging program. Other popular uses include security surveillance, computer vision, video broadcasting, and for recording social videos. Webcams can beEnsemble learning (6,685 words) [view diff] no match in snippet view article find links to article
features. The variance of local information in the bootstrap sets and feature considerations promote diversity in the ensemble, and can strengthen theRule-based machine learning (536 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eAdversarial machine learning (7,819 words) [view diff] no match in snippet view article find links to article
models (2012–2013). In 2012, deep neural networks began to dominate computer vision problems; starting in 2014, Christian Szegedy and others demonstratedAction model learning (816 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eLeakage (machine learning) (1,027 words) [view diff] no match in snippet view article
possible sources of leakage for a model: features and training examples. Feature or column-wise leakage is caused by the inclusion of columns which areCurriculum learning (1,367 words) [view diff] no match in snippet view article find links to article
Difficulty of Visual Search in an Image". 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (PDF). pp. 2157–2166. doi:10.1109/CVPRNeighbourhood components analysis (1,166 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eCanonical correlation (3,645 words) [view diff] no match in snippet view article find links to article
Alhalabi, Wadee (2016). "Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition". IEEE Transactions onQ-learning (3,835 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eHardware acceleration (1,788 words) [view diff] no match in snippet view article find links to article
fetch-decode-execute cycle. Modern processors are multi-core and often feature parallel "single-instruction; multiple data" (SIMD) units. Even so, hardwareLearning rate (1,108 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eAdaptive cruise control (4,045 words) [view diff] no match in snippet view article find links to article
the BMW 5 and 6 series. A more recent development is the binocular computer vision system, such as that introduced to the US market in model year 2013Cycling (9,838 words) [view diff] no match in snippet view article find links to article
almost entirely occurs in public streets. And, the development of computer vision and street view imagery has provided significant potential to assessThermocline (1,434 words) [view diff] no match in snippet view article find links to article
latitude, and turbulent mixing by wind, thermoclines may be a semi-permanent feature of the body of water in which they occur, or they may form temporarilyParallel projection (2,212 words) [view diff] no match in snippet view article find links to article
Hartley, Richard; Zisserman, Andrew (2018). Multiple view geometry in computer vision (2. edition, 17.printing ed.). Cambridge: Cambridge Univ. Press. pAttention (13,010 words) [view diff] no match in snippet view article find links to article
more boundaries and edges than the American ones. In the domain of computer vision, efforts have been made to model the mechanism of human attention,Adrian Biddle (364 words) [view diff] no match in snippet view article find links to article
Biddle's first credit as cinematographer in a feature film. Biddle was a cinematographer on another 25 feature films, including Thelma & Louise (1991), forImaging informatics (5,032 words) [view diff] no match in snippet view article find links to article
algorithms for applications such as computer assisted diagnosis and computer vision Due to the diversity of the industry players and broad professionalShopping cart (4,963 words) [view diff] no match in snippet view article find links to article
streamlined and convenient shopping experience. The system utilizes computer vision to accurately track items in the cart and allow customers to scan andIan R. Porteous (957 words) [view diff] no match in snippet view article find links to article
kinematics and architecture as well as (more recently) geology, tomography, computer vision and face-recognition." These applications follow from the theoriesComputer forensics (2,451 words) [view diff] no match in snippet view article find links to article
quadratic pixel correlation model" (PDF). Proc. IEEE Conference on Computer Vision and Pattern Recognition: 1–8. Archived from the original (PDF) on 2010-06-17Grammar induction (2,166 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eNao (robot) (1,670 words) [view diff] no match in snippet view article
(for multilingual text-to-speech synthesis) and two HD cameras (for computer vision, including facial and shape recognition). The robot also comes withList of mergers and acquisitions by Alphabet (7,353 words) [view diff] no match in snippet view article find links to article
Ingrid (August 16, 2017). "Google acquires AIMatter, maker of the Fabby computer vision app". techcrunch.com. Retrieved August 17, 2017. Novet, Jordan (AugustRockchip (4,995 words) [view diff] no match in snippet view article find links to article
energy efficiency, featuring embedded voice activation detection). The announcement of RV1108 indicated Rockchip's move to AI/computer vision territory. WithRing (company) (6,190 words) [view diff] no match in snippet view article
distance itself from Ring Ukraine, the branch responsible for developing computer vision and facial recognition solutions. In a statement for release, the generalThermodynamic model of decompression (1,557 words) [view diff] no match in snippet view article find links to article
decompression schedules. This trend to deeper decompression stops has become a feature of more recent decompression models. Brian A. Hills analysed the existingGradient boosting (4,259 words) [view diff] no match in snippet view article find links to article
pioneered the use of tree-based methods. Gradient boosting can be used for feature importance ranking, which is usually based on aggregating importance functionMulti-task learning (6,154 words) [view diff] no match in snippet view article find links to article
(2015). "Going deeper with convolutions". 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 1–9. arXiv:1409.4842. doi:10.1109/CVPRValerie Taylor (diver) (2,507 words) [view diff] no match in snippet view article
underwater cinematographer and photographer. In 2021 a feature-length documentary film featuring archival footage as well as Taylor's life as an 85-year-oldPlatt scaling (831 words) [view diff] no match in snippet view article find links to article
intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning v t eVapnik–Chervonenkis theory (3,937 words) [view diff] no match in snippet view article find links to article
common to machine learning. Let X {\displaystyle {\mathcal {X}}} is a feature space and Y = { 0 , 1 } {\displaystyle {\mathcal {Y}}=\{0,1\}} . A function