Presentation 2008-09-05
Robust face recognition based on modified architecture of Independent Component Analysis
Xian-Hua Han, Yen-Wei Chen, Akihiko Yamada, Hideto Fujita,
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Abstract(in English) A number of current face recognition algorithms use face representations found by statistical subspace learning methods. Therein, Principal Component Analysis (PCA), Independent Component Analysis (ICA) and Linear Discriminant Analysis (LDA) are a high-focused research topic in this field. LDA can get good results for supervised face recognition. However, it is limited for some face recognition system, where no or only one sample face can be obtained for training. In the other hand, ICA can obtain acceptable recognition result. However, the applicability of ICA to high-dimension pattern recognition tasks such as face recognition often suffers some problems. The most important one is real-time problem, another is the computer memory. The mentioned two problems make ICA classifier unsuitable and inapplicable in real system. In this paper, we propose a modified ICA architecture to deal with the two problems. Firstly, we use eigenface method to calculate the eigenvector and eigenvalue for the training samples, and whitening the face images. Finally, the independent coefficients of image factorial code can be obtained by ICA analysis. Experimental results show that the proposed method can not only obtain high-speed but also get acceptable accuracy rate.
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Paper # PRMU2008-60,HIP2008-60
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Committee HIP
Conference Date 2008/8/29(1days)
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Language ENG
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Title (in English) Robust face recognition based on modified architecture of Independent Component Analysis
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1st Author's Name Xian-Hua Han
1st Author's Affiliation College of Information Science and Engineering, Ritsumeikan University()
2nd Author's Name Yen-Wei Chen
2nd Author's Affiliation College of Information Science and Engineering, Ritsumeikan University
3rd Author's Name Akihiko Yamada
3rd Author's Affiliation Digital Technology Research Center, SANYO Electric Co., Ltd.
4th Author's Name Hideto Fujita
4th Author's Affiliation Digital Technology Research Center, SANYO Electric Co., Ltd.
Date 2008-09-05
Paper # PRMU2008-60,HIP2008-60
Volume (vol) vol.108
Number (no) 199
Page pp.pp.-
#Pages 6
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