摘要
文章提出一种多人脸图像中人脸检测与定位方法,将图像从RGB色彩空间转换到YCrCb色彩空间中,根据肤色点在CrCb空间中的分布情况进行肤色点检测,并滤除肤色检测后的孤立噪声,利用势函数方法获得人脸候选区域。然后,根据人脸的结构特征对候选区域进行人脸区域的判别和定位,最终实现图像中多人脸的检测功能,并通过仿真实验证明了该方法的有效性。
A face detection and location method is proposed to find multiple faces in a image. The image is change from RGB color space to YCrCb color space. The skin pixels can be detected according to their distribution in YCrCb color space. And isolated noise point can be filtered. The possible face areas can be determined by the potential function method. The face areas can be determined according to the face structural characteristic from the possible face areas. Thus, multiple faces detection can be realized. Simulation results prove it＇s valid.
出处
《信息网络安全》
2012年第7期64-65,97,共3页
Netinfo Security
基金
天津市自然科学基金资助项目[10JCYBJC07500]
关键词
人脸检测
肤色
势函数
色彩空间
face detection
skin color
potential function
color space
