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» Face recognition with one training image per person
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PR
2006
127views more  PR 2006»
13 years 4 months ago
On solving the face recognition problem with one training sample per subject
The lack of adequate training samples and the considerable variations observed in the available image collections due to aging, illumination and pose variations are the two key te...
Jie Wang, Kostas N. Plataniotis, Juwei Lu, Anastas...
AMC
2008
89views more  AMC 2008»
13 years 5 months ago
Face recognition using FLDA with single training image per person
Quanxue Gao, Lei Zhang 0006, David Zhang
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...
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
13 years 11 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 ...
AMFG
2007
IEEE
216views Biometrics» more  AMFG 2007»
13 years 11 months ago
Single Image Subspace for Face Recognition
Small sample size and severe facial variation are two challenging problems for face recognition. In this paper, we propose the SIS (Single Image Subspace) approach to address these...
Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan