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» Face recognition using spectral features
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ICB
2007
Springer
142views Biometrics» more  ICB 2007»
14 years 1 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 ...
ICB
2007
Springer
121views Biometrics» more  ICB 2007»
14 years 1 months ago
SVDD-Based Illumination Compensation for Face Recognition
Illumination change is one of most important and difficult problems which prevent from applying face recognition to real applications. For solving this, we propose a method to comp...
Sang-Woong Lee, Seong-Whan Lee
ICIP
2008
IEEE
14 years 4 months ago
Matching texture units for face recognition
For an image, texture unit (TU) is a small complete unit which characterizes the local texture of a given pixel and its neighborhood. Recently, TU-based approaches have been widel...
Bangpeng Yao, Haizhou Ai, Shihong Lao
CVPR
2005
IEEE
14 years 3 months ago
Nonlinear Face Recognition Based on Maximum Average Margin Criterion
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
Baochang Zhang, Xilin Chen, Shiguang Shan, Wen Gao
PR
2008
87views more  PR 2008»
13 years 9 months ago
Two-dimensional Laplacianfaces method for face recognition
In this paper we propose a two-dimensional (2D) Laplacianfaces method for face recognition. The new algorithm is developed based on two techniques, i.e., locality preserved embedd...
Ben Niu, Qiang Yang, Simon Chi-Keung Shiu, Sankar ...