融合肤色信息和椭圆环模板的人脸检测

摘要

Through color information and face contour information, this paper proposes a new feature extraction method based on color information and face contour. First of all, color regions are segmented by using improved color extraction algorithm, and analyzed in order to find candidate faces. Then edges of these candidate faces are detected, in accordance with edge detection points. They are matched with characteristics of face contour to identify the exact location. Finally, false faces are excluded by using mosaic template. Experimental results show that the algorithm has higher accuracy rate, high detection speed, and can detect faces of a certain point of view.%融合肤色信息和人脸轮廓信息,提出了一种新颖的基于肤色信息和人脸轮廓的人脸检测算法.首先利用改进的肤色提取算法对肤色进行分割,分析肤色区域,找出备选人脸；然后对备选人脸区域进行边缘检测,根据边缘检测点进行人脸轮廓特征的匹配,找出入脸的准确位置,并利用马赛克模板排除虚假人脸.实验结果表明,该算法具有较高的准确率,检测速度快,并能检测具有一定角度的人脸.