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Find link is a tool written by Edward Betts .
searching for 3D object recognition 10 found (61 total)
Shape context
(2,858 words)
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Shape context is a feature descriptor used in object recognition. Serge Belongie and Jitendra Malik proposed the term in their paper "Matching with Shape
Scale-invariant feature transform
(9,231 words)
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take place. This works better for planar surface recognition than 3D object recognition since the affine model is no longer accurate for 3D objects. In
Accidental viewpoint
(1,074 words)
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inference. 2D symmetry was once thought to be able to facilitate 3D object recognition under accidental viewpoints. Some psychologists have proposed that
Image analysis
(1,355 words)
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of image analysis techniques in different fields include: 2D and 3D object recognition , image segmentation, motion detection e.g. Single particle tracking
3D Content Retrieval
(934 words)
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Digital Libraries, 2004, Vol.3232, pp.209-220 Cyr, C.M., Kimia, B.B., 3D object recognition using shape similarity-based aspect graph, In: Proc. ICCV, IEEE
Autoencoder
(6,211 words)
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notes, 72(2011), 1-19. Nair, Vinod; Hinton, Geoffrey E. (2009). "3D Object Recognition with Deep Belief Nets". Proceedings of the 22nd International Conference
Rui de Figueiredo
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1986. “A general moment-invariants/attributed-graph method for 3D object recognition from a single image". With B. Bamieh. IEEE Journal of Robotics and
Kadir–Brady saliency detector
(3,172 words)
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task of computing image correspondences. However, in the task of 3D object recognition where all three types of image change are combined, saliency detector
Topological data analysis
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"Topological Methods for the Analysis of High Dimensional Data Sets and 3D Object Recognition " (PDF). Point-based graphics 2007 : Eurographics/IEEE VGTC symposium
List of datasets in computer vision and image processing
(7,733 words)
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Nicu; Welling, Max (eds.). "ObjectNet3D: A Large Scale Database for 3D Object Recognition ". Computer Vision – ECCV 2016. Cham: Springer International Publishing: