首页 | 官方网站   微博 | 高级检索  
     

基于改进YUV空间的人脸检测方法
引用本文:徐庆,石跃祥,谢文兰,张争珍.基于改进YUV空间的人脸检测方法[J].计算机工程与应用,2008,44(34):158-162.
作者姓名:徐庆  石跃祥  谢文兰  张争珍
作者单位:湘潭大学 信息工程学院,湖南 湘潭 411105
基金项目:国家自然科学基金,国家部委项目
摘    要:根据肤色色度的分配比例,提出了一种改进YCbCr的Bayesian肤色检测方法,在肤色背景下,利用肤色和唇色在YUV空间分布特点,变换YUV空间的坐标轴,增大唇色和肤色V分量上的差异。提取了唇色的质心和旋转方向,根据人脸几何特征的先验知识建立人脸定位模型。实验表明在改进的颜色空间内,肤色投影到CrCg平面内得到更好的聚类效果。唇色定位人脸算法简单,速度快,更具实效性,对旋转的人脸同样有效。

关 键 词:肤色检测  人脸检测  唇色提取  
收稿时间:2008-5-20
修稿时间:2008-8-11  

Method of face detection based on improved YUV color space
XU Qing,SHI Yue-xiang,XIE Wen-lan,ZHANG Zheng-zhen.Method of face detection based on improved YUV color space[J].Computer Engineering and Applications,2008,44(34):158-162.
Authors:XU Qing  SHI Yue-xiang  XIE Wen-lan  ZHANG Zheng-zhen
Affiliation:School of Information Engineering,Xingtan University,Xiangtan,Hunan 411105,China
Abstract:Considering the proportion of different chroma of skin color,a method of skin detection based on improved YCbCr color space is proposed.Under simple skin underground,changing axis on YUV color space,in order to increase distribution def-erence between skin samples and lip samples,extracting the center of mass and direction of rotation from lip area,and finally a strategy is proposed based on the knowledge about facial structure/distribution to locate face.Experimental results prove that skin pixel has better clustering in improved YCbCr color space.The method of lip location can provide lower false rate and lower complexity suited to reality.In addition,the method has good detection performance in multi-face image.
Keywords:skin detection  face detection  lip extract
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号