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» A review on Gabor wavelets for face recognition
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PR
2007
148views more  PR 2007»
13 years 5 months ago
Learning the best subset of local features for face recognition
We propose a novel, local feature-based face representation method based on twostage subset selection where the first stage finds the informative regions and the second stage ...
Berk Gökberk, M. Okan Irfanoglu, Lale Akarun,...
ICCV
2007
IEEE
14 years 3 days ago
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition. This paper...
Yu Su, Shiguang Shan, Xilin Chen, Wen Gao
ICB
2009
Springer
412views Biometrics» more  ICB 2009»
14 years 10 days ago
Bayesian Face Recognition Based on Markov Random Field Modeling
In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships be...
Rui Wang, Zhen Lei, Meng Ao, Stan Z. Li
ICB
2009
Springer
586views Biometrics» more  ICB 2009»
14 years 10 days ago
Face Image Quality Evaluation for ISO/IEC Standards 19794-5 and 29794-5
Face recognition performance can be significantly influenced by face image quality. The approved ISO/IEC standard 19794-5 has specified recommendations for face photo taking for...
Jitao Sang, Zhen Lei, Stan Z. Li
FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
13 years 9 months ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang