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165
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CVPR
2003
IEEE
16 years 5 months ago
2003
IEEE
We propose a new approach for face recognition under arbitrary illumination conditions, which requires only one training image per subject (if there is no pose variation) and no 3...
161
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CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
146
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CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
Copyright 2004 IEEE. Published in Conference on Computer Vision and Pattern Recognition (CVPR-2004), June 27 - July 2, 2004, Washington DC. Personal use of this material is permit...
115
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CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
One of the major problems in modeling images for vision tasks is that images with very similar structure may locally have completely different appearance, e.g., images taken under...
157
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CVPR
2005
IEEE
16 years 5 months ago
2005
IEEE
Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...