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» Enhanced multiple-view feature modelling
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CVPR
2008
IEEE
15 years 11 months ago
Unsupervised feature selection via distributed coding for multi-view object recognition
Object recognition accuracy can be improved when information from multiple views is integrated, but information in each view can often be highly redundant. We consider the problem...
Chris Mario Christoudias, Raquel Urtasun, Trevor D...
73
Voted
ECCV
2006
Springer
15 years 11 months ago
Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support
We consider the problem of tracking a given set of point features over large sequences of image frames. A classic procedure for monitoring the tracking quality consists in requirin...
Anthony Remazeilles, François Chaumette, Si...
80
Voted
ECCV
2006
Springer
15 years 11 months ago
Gait Recognition Using a View Transformation Model in the Frequency Domain
Gait analyses have recently gained attention as methods of identification of individuals at a distance from a camera. However, appearance changes due to view direction changes caus...
Yasushi Makihara, Ryusuke Sagawa, Yasuhiro Mukaiga...
CVPR
2008
IEEE
15 years 11 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah
ICDAR
2011
IEEE
13 years 9 months ago
A Generative Model for Handwritings Based on Enhanced Feature Desynchronization
—A new generative model of handwriting patterns is proposed for interpreting their deformations. The model is based on feature desynchronization, which is a coupling process of
Seiichi Uchida, Toru Sasaki, Yaokai Feng