%0 Journal Article
%T An expression recognition method based on local feature fusion<br>一种基于局部特征融合的表情识别方法
%A 邓捷方
%A 杨勇
%A 王国胤
%J 重庆邮电大学学报(自然科学版)
%D 2011
%I 
%X Expression recognition is a hot topic in artificial intelligence and pattern recognition. However, feature fusion is one of the most important research subjects in expression recognition. In this paper, an expression recognition method based on serial feature fusion between Gabor wavelet feature and geometric feature of mouth is proposed. And the nearest neighbor rule is used to classify to get the comparison from different facial expression databases and different recognition methods. The experiment results show that this method obtains better recognition effect than any other methods in local feature expression recognition. Moreover, it is proved that it can recognize express faster than global facial expression recognition.
%K expression recognition
%K feature fusion
%K gabor wavelet
%K geometric feature<br>表情识别
%K 特征融合
%K Gabor小波
%K 几何特征
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=5C2694A2E5629ECD6B59D7B28C6937AD&aid=8A9892E12714AC7F436272E01F9C8497&yid=9377ED8094509821&vid=EA389574707BDED3&iid=94C357A881DFC066&sid=C824C8F9F54AE9B9&eid=039DCCB9394D9766&journal_id=1673-825X&journal_name=重庆邮电大学学报(自然科学版)&referenced_num=1&reference_num=0