一种基于RealAdaBoost算法的EOM人脸检测方法

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Abstract A Real AdaBoost algorithm based EOM (edgeorientation matching) method is proposed for face detection. The edge orientation feature is extracted from the original face images to eliminate the influence of some disturbances such as variable lighting to a certain extent. The global face pattern (global feature point set) is obtained by using the Real AdaBoost algorithm through multiple iterative learning procedures, and the local pattern (local feature point set) is acquired by utilizing the areaselecting strategy during each iterative procedure. A precise face pattern is found by the proposed method rather than by the original EOM method, which is confirmed by the experiment of frontal face detection.

Key words： Face Detection EdgeOrientation Matching (EOM) Method Real AdaBoost Algorithm AreaSelecting Strategy

Received: 13 December 2004

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	CHEN HuaJie
	WEI Wei

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CHEN HuaJie,WEI Wei. EOM Face Detection Method Based on Real AdaBoost Algorithm[J]. , 2006, 19(6): 812-817.

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http://manu46.magtech.com.cn/Jweb_prai/EN/ OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2006/V19/I6/812

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