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» Linear Regression for Face Recognition
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CVPR
2007
IEEE
16 years 1 months ago
Face Recognition using Discriminatively Trained Orthogonal Rank One Tensor Projections
We propose a method for face recognition based on a discriminative linear projection. In this formulation images are treated as tensors, rather than the more conventional vector o...
Gang Hua, Paul A. Viola, Steven M. Drucker
ACCV
2007
Springer
15 years 6 months ago
Kernel Discriminant Analysis Based on Canonical Differences for Face Recognition in Image Sets
A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. For each individu...
Wen-Sheng Vincent Chu, Ju-Chin Chen, Jenn-Jier Jam...
TIP
2010
138views more  TIP 2010»
14 years 6 months ago
Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition
Gabor features have been known to be effective for face recognition. However, only a few approaches utilize phase feature and they usually perform worse than those using magnitude ...
Shufu Xie, Shiguang Shan, Xilin Chen, Jie Chen
ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Face Recognition using Energy Probability in DCT Domain
In this paper, we propose a novel feature extraction method for face recognition. This method is based on Discrete Cosine Transform (DCT), Energy Probability (EP), and Linear Disc...
Jean Choi, Yun-Su Chung, Ki-Hyun Kim, Jang-Hee Yoo
CVPR
2004
IEEE
16 years 1 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