基于肤色模型与模板匹配的人脸检测探究  

Research on the Face Detection Based on Skin Color Model and Template Matching

作　　者：潘广全[1] 王伟 

机构地区：[1]山东中烟工业有限责任公司青州卷烟厂,青州262500 [2]山东正晨科技股份有限公司企业技术中心,济南250101

出　　处：《电子测试》2015年第2期21-23,共3页Electronic Test

摘　　要：本文提出了一种基于肤色模型与模板匹配的人脸检测方法。基于YCb Cr色彩空间的高斯概率模型,对肤色进行相似度计算和二值化分割,采用形态学对二值化后的图像去噪处理,随后又利用人脸先验知识进一步排除非人脸区域,最后结合人脸模板进行匹配,最终确定并标记出图像中人脸的位置。实验表明,该方法能够在复杂背景图像中较准确地检测出人脸。The face detection method based on skin color model and template matching is presented in this paper.With the skin color Gaussin probability model based on YCbCr color space,the color similarity is calculated and two value segmentation is processed.The morphological filter is used for two value of the image.Subsequently,the face’s priori knowledge is exploited to further exclude non-human face area. Finally,the use of face template matching,eventually identifies and marks out face location of the human image.The results of experiments show that the method could be accurate detection of a human face in the image with complex back ground.

关 键 词：色彩空间 肤色模型 模板匹配 人脸检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]