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» Object Recognition via Local Patch Labelling
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77
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ICCV
2009
IEEE
16 years 2 months ago
Weakly supervised discriminative localization and classification: a joint learning process
Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first ...
Minh Hoai Nguyen, Lorenzo Torresani, Fernando de l...
98
Voted
ECCV
2006
Springer
15 years 11 months ago
Modeling 3D Objects from Stereo Views and Recognizing Them in Photographs
Local appearance models in the neighborhood of salient image features, together with local and/or global geometric constraints, serve as the basis for several recent and effective...
Akash Kushal, Jean Ponce
ICRA
2010
IEEE
193views Robotics» more  ICRA 2010»
14 years 7 months ago
Real-time identification and localization of body parts from depth images
Abstract-- We deal with the problem of detecting and identifying body parts in depth images at video frame rates. Our solution involves a novel interest point detector for mesh and...
Christian Plagemann, Varun Ganapathi, Daphne Kolle...
CVPR
2010
IEEE
15 years 6 months ago
Gesture Recognition by Learning Local Motion Signatures
This paper overviews a new gesture recognition framework based on learning local motion signatures (LMSs) introduced by [1]. After the generation of these LMSs computed on one i...
Mohamed-Becha Kaaniche, Francois Bremond
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
15 years 4 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels