一种基于肤色和模板匹配的人脸检测方法

提出了一种基于肤色和模板匹配的人脸检测方法，该方法首先对搜集到的人脸肤色样本在YCbCr空间中进行聚类，然后根据聚类的范围在输入的图像中确定候选的人脸区域（假设存在）的位置，接着对该候选人脸区域进行归一化处理，再计算人脸模板和该候选区域的Hausdorff距离，根据该距离大小最终确定该候选区域是否为人脸．实验表明：该算法检测准确率高，具有良好的实时性和鲁棒性．

New Face Detection Method Based on Skin Color and Template Matching

This paper presents a new Face Detection method, which firstly clusters skin-color model in YCbCr chrominance space with the templates collected, then locates candidate face areas through the given skin-color model. After the normalization of the candidate face areas, a calculation of Hausdorff distance is performed between the given template and the candidates. Finally according to the length of the distance, whether the given area is face or not is determined. Plentiful experiments indicate that this method possesses high accuracy and turns out to well satisfy real-time and robustness demands.