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CVPR
2004
IEEE
14 years 7 months ago
Dual-Space Linear Discriminant Analysis for Face Recognition
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
Xiaogang Wang, Xiaoou Tang
ICB
2007
Springer
176views Biometrics» more  ICB 2007»
13 years 9 months ago
A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...
Tuo Zhao, Zhizheng Liang, David Zhang, Yahui Liu
MVA
2007
160views Computer Vision» more  MVA 2007»
13 years 7 months ago
Investigation of Color Spaces for Face Recognition
This paper presents color processing for face recognition systems and proposes new directions for them. We show that color information helps performance of face recognition and fo...
Seunghwan Yoo, Rae-Hong Park, Dong-Gyu Sim
JMM2
2006
149views more  JMM2 2006»
13 years 5 months ago
Invariant Robust 3-D Face Recognition based on the Hilbert Transform in Spectral Space
One of the main objectives of face recognition is to determine whether an acquired face belongs to a reference database and to subsequently identify the corresponding individual. F...
Eric Paquet, Marc Rioux
IJON
2006
53views more  IJON 2006»
13 years 5 months ago
Sub-intrapersonal space analysis for face recognition
Bayesian subspace analysis has been successfully applied in face recognition. However, it suffers from its operating on a whole face difference and using one global linear subspac...
Xiaoyang Tan, Jun Liu, Songcan Chen