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Published Articles >> Table of Contents >> Abstract
IEEE International Workshop on Analysis and Modeling of Faces and Gestures
p. 104
Illumination Modeling and Normalization for Face Recognition
Haitao Wang, Chinese Academy of Sciences
Stan Z. Li, Microsoft Research Asia
Yangsheng Wang, Chinese Academy of Sciences
Weiwei Zhang, Chinese Academy of Sciences
Full Article Text:
  
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AMFG.2003.1240831
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| Abstract |
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In this paper, we present a general framework for face
modeling under varying lighting conditions. First, we
show that a face lighting subspace can be constructed
based on three or more training face images illuminated
by non-coplanar lights. The lighting of any face image
can be represented as a point in this subspace. Second, we
show that the extreme rays, i.e. the boundary of an
illumination cone, cover the entire light sphere. Therefore,
a relatively sparsely sampled face images can be used to
build a face model instead of calculating each extremely
illuminated face image. Third, we present a face
normalization algorithm, illumination alignment, i.e.
changing the lighting of one face image to that of another
face image. Experiments are presented.
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 Additional Information
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Citation:
Haitao Wang, Stan Z. Li, Yangsheng Wang, Weiwei Zhang,
"Illumination Modeling and Normalization for Face Recognition,"
amfg,
p. 104,
IEEE International Workshop on Analysis and Modeling of Faces and Gestures,
2003
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