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ICPR
2004
IEEE
14 years 10 months ago
Illumination and Expression Invariant Face Recognition with One Sample Image
Most face recognition approaches either assume constant lighting condition or standard facial expressions, thus cannot deal with both kinds of variations simultaneously. This prob...
Brian C. Lovell, Shaokang Chen
CVPR
2005
IEEE
14 years 9 months ago
A Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training Samples
A novel framework called 2D Fisher Discriminant Analysis (2D-FDA) is proposed to deal with the Small Sample Size (SSS) problem in conventional One-Dimensional Linear Discriminan...
Hui Kong, Lei Wang, Eam Khwang Teoh, Jian-Gang Wan...
AMFG
2007
IEEE
216views Biometrics» more  AMFG 2007»
14 years 3 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
AMFG
2005
IEEE
314views Biometrics» more  AMFG 2005»
14 years 2 months ago
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition
Non-negative matrix factorization (NMF) is a recently developed method for finding parts-based representation of non-negative data such as face images. Although it has successfully...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
AVBPA
2005
Springer
226views Biometrics» more  AVBPA 2005»
14 years 2 months ago
Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
Baochang Zhang, Xilin Chen, Wen Gao