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ICB
2007
Springer
176views Biometrics» more  ICB 2007»
13 years 11 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
IJCV
2006
115views more  IJCV 2006»
13 years 7 months ago
An Analysis of Linear Subspace Approaches for Computer Vision and Pattern Recognition
: Linear subspace analysis (LSA) has become rather ubiquitous in a wide range of problems arising in pattern recognition and computer vision. The essence of these approaches is tha...
Pei Chen, David Suter
ICIP
2005
IEEE
14 years 9 months ago
Feedback-based dynamic generalized LDA for face recognition
Linear Discriminant Analysis(LDA) is widely-used in face recognition systems. However, with the traditional formulation, the available information in the training samples is not su...
Dahua Lin, Shuicheng Yan, Xiaoou Tang
ICB
2007
Springer
142views Biometrics» more  ICB 2007»
13 years 11 months ago
Face Recognition by Discriminant Analysis with Gabor Tensor Representation
Abstract. This paper proposes a novel face recognition method based on discriminant analysis with Gabor tensor representation. Although the Gabor face representation has achieved g...
Zhen Lei, Rufeng Chu, Ran He, ShengCai Liao, Stan ...
CVPR
2005
IEEE
14 years 9 months ago
Representational Oriented Component Analysis (ROCA) for Face Recognition with One Sample Image per Training Class
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
Fernando De la Torre, Ralph Gross, Simon Baker, B....