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FGR
2011
IEEE
272views Biometrics» more  FGR 2011»
12 years 8 months ago
Adaptive discriminant analysis for face recognition from single sample per person
—Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition. However, these methods fail to work for face recognition...
Meina Kan, Shiguang Shan, Yu Su, Xilin Chen, Wen G...
CVPR
2010
IEEE
13 years 10 months ago
Adaptive Generic Learning for Face Recognition from a Single Sample per Person
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the datab...
Yu Su, Shiguang Shan, Xilin Chen, wen Gao
PR
2006
113views more  PR 2006»
13 years 4 months ago
Face recognition from a single image per person: A survey
One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for...
Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zh...
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
PRL
2002
146views more  PRL 2002»
13 years 4 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