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CVPR
2004
IEEE
14 years 8 months ago
Random Sampling LDA for Face Recognition
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
Xiaogang Wang, Xiaoou Tang
ICBA
2004
Springer
171views Biometrics» more  ICBA 2004»
14 years 2 days ago
Face Recognition with 3D Model-Based Synthesis
Abstract. Current appearance-based face recognition system encounters the difficulty to recognize faces with appearance variations, while only a small number of training images are...
Xiaoguang Lu, Rein-Lien Hsu, Anil K. Jain, Behrooz...
CIVR
2005
Springer
130views Image Analysis» more  CIVR 2005»
14 years 7 days ago
Improvement on PCA and 2DPCA Algorithms for Face Recognition
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Vo Dinh Minh Nhat, Sungyoung Lee
CVPR
2007
IEEE
14 years 8 months ago
Learning a Spatially Smooth Subspace for Face Recognition
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thoma...
ISNN
2005
Springer
14 years 6 days ago
An Improvement on PCA Algorithm for Face Recognition
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Vo Dinh Minh Nhat, Sungyoung Lee