%0 Journal Article
%T Facial Expression Recognition System Based on Multiple Feature Integration<br>融合人脸多特征信息的表情识别系统
%A WEI Ran
%A JIANG Li
%A TAO Lin-mi
%A <br>魏冉
%A 姜莉
%A 陶霖密
%J 中国图象图形学报
%D 2009
%I 
%X Based on the analysis of the characteristics of different expressions in the human face, it was found that using the same method to extract the facial features cannot maximize the availability of information. The lost of useful information and the redundant computing may reduce the accuracy and the performance the algorithm. Aiming at the three specific parts on the face-mouth, forehead and eyebrows-which makes the largest changes in shape, texture and distance when facial expression changes take place, a new multi-feature extraction method is developed. To extract the features, it applies template matching on the mouth, edge detection on the forehead and contour detection on the eyebrows. The integration of the three feature extraction outputs becomes the final result of the system. Experiments validated the algorithm with stability, effectiveness, a high recognition accuracy and fast running speed.
%K facial expression recognition
%K multi-feature extraction
%K template matching
%K edge detection<br>人脸表情识别
%K 多特征提取
%K 模板匹配
%K 边缘检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=2DE51490B79BFBE911AF7BF366B559EC&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=94C357A881DFC066&sid=1471D37D8144EBCF&eid=FE6645F2371CA43C&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=13