计算机技术与发展2016，Vol.26Issue(11)：49-53,5.DOI:10.3969/j.issn.1673-629X.2016.11.011
基于肤色信息和模板匹配的人脸检测与提取
Face Detection and Extraction Based on Skin-color Information and Template Matching
摘要
Abstract
With the development of human-computer interaction,face detection,an important part of face recognition,has got more and more attention. The key of face detection is accuracy and efficiency. The speed of face detection by skin-color information is fast and it is easy to be implemented,but the accuracy is not high. A method combined skin-color information and template matching is put forward for face detection. First of all,the skin-color Gaussian model in YCbCr color space to segment the area of skin is used. After the process-ing of expansion corrosion,aspect rating,Euler number and other rules,the rough face detection is completed. Then fine face detection by template matching is accomplished. Face region is circled and extracted to form series of face image. Experiments show that the accuracy of the combined method is higher and the speed is faster.关键词
色彩空间/肤色高斯模型/肤色信息/模板匹配/人脸检测Key words
color space/skin-color Gaussian model/skin-color information/template matching/face detection分类
信息技术与安全科学引用本文复制引用
邵虹,耿昊..基于肤色信息和模板匹配的人脸检测与提取[J].计算机技术与发展,2016,26(11):49-53,5.基金项目
辽宁省高等学校优秀人才支持计划(LJQ2013013) （LJQ2013013）
