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» Comparing Images under Variable Illumination
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ICIP
2008
IEEE
14 years 7 months ago
Spectral range selection for face recognition under various illuminations
Multipectral imaging and fusion of multispectral images in visible spectrum have been employed and proved to enhance the recognition performance over conventional broad-band image...
Hong Chang, Yi Yao, Andreas Koschan, Besma R. Abid...
IJCV
2007
163views more  IJCV 2007»
13 years 5 months ago
Appearance Sampling of Real Objects for Variable Illumination
Abstract. The appearance of an object greatly changes under different lighting conditions. Even so, previous studies have demonstrated that the appearance of an object under varyin...
Imari Sato, Takahiro Okabe, Yoichi Sato
CVPR
2003
IEEE
14 years 7 months ago
Clustering Appearances of Objects Under Varying Illumination Conditions
We introduce two appearance-based methods for clustering a set of images of 3-D objects, acquired under varying illumination conditions, into disjoint subsets corresponding to ind...
Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Ch...
ICPR
2008
IEEE
14 years 6 months ago
Illumination invariants based on Markov random fields
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
Pavel Vacha, Michal Haindl
ICCV
2005
IEEE
13 years 11 months ago
Using Extended Light Sources for Modeling Object Appearance under Varying Illumination
In this study, we demonstrate the effectiveness of using extended light sources for modeling the appearance of an object for varying illumination. Extended light sources have a ra...
Imari Sato, Takahiro Okabe, Yoichi Sato, Katsushi ...