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ECCV
1994
Springer
15 years 11 months ago
Face Recognition: the Problem of Compensating for Changes in Illumination Direction
A face recognition system must recognize a face from a novel image despite the variations between images of the same face. A common approach to overcoming image variations because...
Yael Moses, Yael Adini, Shimon Ullman
ICB
2007
Springer
142views Biometrics» more  ICB 2007»
15 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»
15 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
15 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
15 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