Summary

International Technical Conference on Circuits/Systems, Computers and Communications

2008

Session Number:A7

Session:

Number:A7-2

Fast Retinex Method Based on CMSB-plane for Variable Lighting Face Recognition

Su Young Lee,  Seok Lai Park,  Young Kyung Park,  Joong Kyu Kim,  

pp.-

Publication Date:2008/7/7

Online ISSN:2188-5079

DOI:10.34385/proc.39.A7-2

PDF download (645.2KB)

Summary:
In this paper, we propose a fast Retinex method based on CMSB-plane for variable lighting face recognition. Cast shadow, created by direct light sources, seriously damage face images and ultimately deteriorate the performance of face recognition system. To eliminate cast shadow efficiently in the framework of Retinex theory, they should be preserved in the illumination estimation process. The proposed method estimates the illumination with cast shadow by iteratively convolving the input image with a 3×3 averaging mask adaptively weighted by coefficients based on both the combined most significant bit-plane (CMSB-plane) and image entropy. To improve the performance of the smoothing process, the proposed method employs the multigrid method and combines multi-copies of the estimated illumination with various scales. In this way, we can achieve a fast illumination normalization in which even face images with cast shadow are normalized efficiently. The proposed method has been evaluated based on the CMU PIE database by using PCA. In result, the proposed method has higher recognition rates than other conventional illumination normalization methods such as SSR, MSR and SQI.