Face segmentation using skin-color map in videophone applications

被引:426
作者
Chai, D [1 ]
Ngan, KN [1 ]
机构
[1] Univ Western Australia, Dept Elect & Elect Engn, Visual Commun Res Grp, Nedlands, WA 6907, Australia
关键词
color image processing; face location; facial image analysis; H.261; image segmentation; quantization; video coding; videophone communication;
D O I
10.1109/76.767122
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper addresses our proposed method to automatically segment out a person's face from a given image that consists of a head-and-shoulders view of the person and a complex: background scene. The method involves a fast, reliable, and effective algorithm that exploits the spatial distribution characteristics of human skin color. A universal skin-color map is derived and used on the chrominance component of the input image to detect pixels with skin-color appearance. Then, based on the spatial distribution of the detected skin-color pixels and their corresponding luminance values, the algorithm employs a set of novel regularization processes to reinforce regions of skin-color pixels that are more likely to belong to the facial regions and eliminate those that are not. The performance of the face-segmentation algorithm is illustrated by some simulation results carried out on various head-and-shoulders test images. The use of face segmentation for video coding in applications such as videotelephony is then presented. We explain how the face-segmentation results can be used to improve the perceptual quality of a videophone sequence encoded by the H.261-compliant coder.
引用
收藏
页码:551 / 564
页数:14
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