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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2002, Vol. 3 Issue (1): 72-76    DOI: 10.1631/jzus.2002.0072
Computer & Industrial Engineering     
A closed-loop algorithm to detect human face using color and reinforcement learning
WU Dong-hui, YE Xiu-qing, GU Wei-kang
Institute of Information System & Electric Engineering, Zhejiang University, Hangzhou 310027, China
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Abstract  A closed-loop algorithm to detect human face using color information and reinforcement learning is presented in this paper. By using a skin-color selector, the regions with color \"like\" that of human skin are selected as candidates for human face. In the next stage, the candidates are matched with a face model and given an evaluation of the match degree by the matching module. And if the evaluation of the match result is too low, a reinforcement learning stage will start to search the best parameters of the skin-color selector. It has been tested using many photos of various ethnic groups under various lighting conditions, such as different light source, high light and shadow. And the experiment result proved that this algorithm is robust to the varying lighting conditions and personal conditions.

Key words： human face detection      skin-color selector      reinforcement learning     
Received: 18 December 2000     
CLC:  TP391.41  
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WU Dong-hui
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GU Wei-kang
Cite this article:

WU Dong-hui, YE Xiu-qing, GU Wei-kang. A closed-loop algorithm to detect human face using color and reinforcement learning. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2002, 3(1): 72-76.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2002.0072     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2002/V3/I1/72

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