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ICIP
2005
IEEE
14 years 2 months ago
View independent face recognition based on kernel principal component analysis of local parts
This paper presents a view independent face recognition method based on kernel principal component analysis (KPCA) of local parts. View changes induce large variation in feature s...
Koji Hotta
SCIA
2009
Springer
195views Image Analysis» more  SCIA 2009»
14 years 1 months ago
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition
A feature extraction method using multi-frequency bands is proposed for face recognition, named as the Multi-band Gradient Component Pattern (MGCP). The MGCP captures discriminativ...
Yimo Guo, Jie Chen, Guoying Zhao, Matti Pietik&aum...
AMFG
2005
IEEE
164views Biometrics» more  AMFG 2005»
13 years 11 months ago
Pose-Encoded Spherical Harmonics for Robust Face Recognition Using a Single Image
Abstract. Face recognition under varying pose is a challenging problem, especially when illumination variations are also present. Under Lambertian model, spherical harmonics repres...
Zhanfeng Yue, Wenyi Zhao, Rama Chellappa
FGR
2008
IEEE
299views Biometrics» more  FGR 2008»
14 years 3 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
ACCV
2006
Springer
14 years 3 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...