Abstract：A Real AdaBoost algorithm based EOM (edgeorientation 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 areaselecting 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.
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2006, Vol. 19 
