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161
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FGR
2008
IEEE
299views Biometrics» more  FGR 2008»
15 years 10 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
149
Voted
ACCV
2006
Springer
15 years 10 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...
ECCV
2010
Springer
15 years 9 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...
140
Voted
PRL
2002
146views more  PRL 2002»
15 years 3 months 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
137
Voted
ICCV
2005
IEEE
16 years 5 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