Face recognition using independent component analysis based on restricted mean field approximation

LIU Zhi-fang; YOU Zhi-sheng; Zhang Ji-ping

LASER TECHNOLOGY > 2005 > 29(6): 662-666.

LIU Zhi-fang, YOU Zhi-sheng, Zhang Ji-ping. Face recognition using independent component analysis based on restricted mean field approximation[J]. LASER TECHNOLOGY, 2005, 29(6): 662-666.

Citation:

LIU Zhi-fang, YOU Zhi-sheng, Zhang Ji-ping. Face recognition using independent component analysis based on restricted mean field approximation[J]. LASER TECHNOLOGY, 2005, 29(6): 662-666.

Citation:

LIU Zhi-fang, YOU Zhi-sheng, Zhang Ji-ping. Face recognition using independent component analysis based on restricted mean field approximation[J]. LASER TECHNOLOGY, 2005, 29(6): 662-666.

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Face recognition using independent component analysis based on restricted mean field approximation

1.
Institute of Image & Graphic, College of Computer Science, Sichuan University, Chengdu 610065, China;
2.
School of Automation Engineering, University Electronic Science and Technology of China, Chengdu 610054, China

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Received Date: June 13, 2004
Revised Date: October 09, 2004
Published Date: November 24, 2005

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Abstract

Based on mean field approximation a new method is proposed to solve noisy ICA model,which can fairly well solve over-complete case,and estimate the independent source by restrict the non-negative mixing matrix and the non-negative sources.The experiments have been done for several different cases,such as digital images,simulated face graphics and ORL face database.The digital images and simulated face graphics experiments show the extraction features by the RMFA-ICA are more independent than that of using tradition ICA and unrestrictive MFA-ICA,the ORL face recognition experiments show the recognition ratio by the proposed method is greater than that of using the others methods.
- mean field approximation,
- independent component analysis(ICA),
- face recognition,
- feature extraction

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References

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Face recognition using independent component analysis based on restricted mean field approximation

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