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《Journal of Jilin University (Science Edition)》 2005-02
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Application of Wavelet and Neural Network in the Human Face Illumination Compensation

ZHANG Zhong-bo, MA Si-liang, MA Jie (Institute of Mathematics, Jilin University, Changchun 130012, China)  
Based on wavelet and neural network the method of face illumination compensation is proposed. It sufficiently combines multiresolution analysis of wavelet with the self adaptation learning and ability of good spread of BP neural network, thus this method carries out the face illumination compensation. The theory and experiments prove that this method solves face detection and illuminatioo compensation in the identifying process. Moreover, it has fine robust and adaptable characteristics in a wide range.
【Fund】: 国家高技术研究发展计划(863)项目基金(批准号:2004AA001110)
【CateGory Index】: TP391.4
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