基于肤色和模板的人脸检测

Face Detection Based on Skin Color and Template

针对彩色图像提出了一种基于肤色和模板的人脸检测方法 ,由肤色分割、模板匹配和人工神经网验证 3部分组成 .首先使用 HSI空间的肤色统计模型分割出可能包含人脸的区域 ,然后使用平均脸模板匹配和人工神经网验证的方法在这些区域中搜索人脸 .该方法将彩色图像的肤色信息和灰度图像的模板匹配及人工神经网分类模型综合起来 ,既极大地提高了速度 ,又具有较强的鲁棒性 .实验结果表明 ,该算法是快速而有效的 .

A face detection algorithm for color images based on skin color and template, which composed of skin color segmentation, template matching, and neural network verifying is presented. First, a skin color model in HSI chrominance space is used for segmenting regions in which may have faces, and then the average-face based template matching and neural network verifying methods are used for searching faces in those regions. This algorithm integrates skin color information in color images with template matching and neural network classification model in gray level images, which results in not only faster speed, but also higher robustness of the algorithm. Experimental results demonstrate the efficiency and feasibility of this algorithm.