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127
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FGR
2008
IEEE
299views Biometrics» more  FGR 2008»
15 years 7 months ago
Face recognition with occlusions in the training and testing sets
Partial occlusions in face images pose a great problem for most face recognition algorithms. Several solutions to this problem have been proposed over the years – ranging from d...
Hongjun Jia, Aleix M. Martínez
117
Voted
ACCV
2006
Springer
15 years 6 months ago
Face Recognition Under Varying Illumination Based on MAP Estimation Incorporating Correlation Between Surface Points
In this paper, we propose a new method for face recognition under varying illumination conditions using a single input image. Our method is based on a statistical shape-from-shadin...
Mihoko Shimano, Kenji Nagao, Takahiro Okabe, Imari...
104
Voted
ECCV
2010
Springer
15 years 6 months ago
Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary
Abstract. By coding the input testing image as a sparse linear combination of the training samples via l1-norm minimization, sparse representation based classification (SRC) has b...
111
Voted
PRL
2002
146views more  PRL 2002»
15 years 14 days ago
Face recognition with one training image per person
: Recently, a method called (PC)2 A was proposed to deal with face recognition with one training image per person. As an extension of the standard eigenface technique, (PC)2 A comb...
Jianxin Wu, Zhi-Hua Zhou
99
Voted
ICCV
2005
IEEE
16 years 2 months ago
Using Eye Reflections for Face Recognition Under Varying Illumination
Face recognition under varying illumination remains a challenging problem. Much progress has been made toward a solution through methods that require multiple gallery images of ea...
Ko Nishino, Peter N. Belhumeur, Shree K. Nayar