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» Using stereo for object recognition
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105
Voted
CVPR
2003
IEEE
16 years 4 months ago
Learning a discriminative classifier using shape context distances
For purpose of object recognition, we learn one discriminative classifier based on one prototype, using shape context distances as the feature vector. From multiple prototypes, th...
Hao Zhang 0003, Jitendra Malik
149
Voted
PAMI
2010
260views more  PAMI 2010»
15 years 1 months ago
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)
—In this work, we address the problem of performing class-specific unsupervised object segmentation, i.e., automatic segmentation without annotated training images. Object segmen...
Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang
81
Voted
IVC
1998
51views more  IVC 1998»
15 years 2 months ago
Improving the generalized Hough transform through imperfect grouping
This paper analyses the improvements that can be gained in the generalized Hough transform method for recognizing objects through the use of imperfect perceptual grouping techniqu...
Clark F. Olson
73
Voted
ICPR
2008
IEEE
15 years 9 months ago
Image sampling for localization using entropy
This paper introduces a robust adaptive patches sampling technique. The method does not rely on the use of keypoints to extract local information but all information contained in ...
Loic Lacheze, Ryad Benosman
168
Voted
CVPR
2009
IEEE
16 years 9 months ago
A Multi-View Probabilistic Model for 3D Object Classes
We propose a novel probabilistic framework for learning visual models of 3D object categories by combining appearance information and geometric constraints. Objects are represen...
Fei-Fei Li 0002, Hao Su, Min Sun, Silvio Savarese