Face Detection Method Based on Semi-supervised Clustering
Zhengwu Jiang · Jisuanji gongcheng · 2012
The paper proposes a method of face detection combined color of skin with continuous AdaBoost algorithm.In order to establish skin color model,this paper takes advantage of semi-supervised strategy to guide skin color clustering,and it also proposes a new algorithm SKDK in the process of clustering.skin color model can be established by the probability statistics distribution characteristics of each pixel cluster.On this basis,mathematical morphology of knowledge is used to handle image and find face candidate,which is the input of continuous AdaBoost classifier for final face detection.Experimental results prove that face detection ability of the method is superior to that directly using continuous AdaBoost method for face detection especially in multi-face situation.