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ICIP
2004
IEEE
11 years 3 months ago
Separating useful from useless image variation for face recognition
For a general purpose face recognition system one of the largest challenge is to separate useful identity related from useless variations in the image data due to nuisance variabl...
Peter Kalocsai
ICCV
2005
IEEE
11 years 3 months ago
Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition
Face images of non-frontal views under poor illumination with low resolution reduce dramatically face recognition accuracy. This is evident most compellingly by the very low recog...
Kui Jia, Shaogang Gong
ECCV
2004
Springer
11 years 3 months ago
Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints
Photometric stereo algorithms use a Lambertian reflectance model with a varying albedo field and involve the appearances of only one object. This paper extends photometric stereo a...
Shaohua Kevin Zhou, Rama Chellappa, David W. Jacob...
MVA
2000
154views Computer Vision» more  MVA 2000»
10 years 1 months ago
A Face Recognition Algorithm Robust Against Illumination Variations Using 3-Dimensional Face Shape
The authors propose a face recognition algorithm robust against the illumination variations, using an average face shape. The objective of this paper is two-fold: (1) to propose a...
Hitoshi Imaoka, Shizuo Sakamoto
ICPR
2008
IEEE
11 years 2 months ago
On averaging face images for recognition under pose variations
Recently, psychological studies showed that averaging human face images greatly improves the performance of face recognition under various pose, illumination, expression, and/or a...
Sanqiang Zhao, Xiaozheng Zhang, Yongsheng Gao
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