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» Object Recognition via Local Patch Labelling
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ICCV
2009
IEEE
15 years 18 days 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...
ECCV
2006
Springer
14 years 9 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»
13 years 5 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
14 years 4 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»
14 years 2 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