%0 Journal Article
%T Person-Independent Facial Expression Recognition Based on Person-Similarity Weighted Distance<br>基于人脸相似度加权距离的非特定人表情识别
%A Tan Hua-chun
%A Zhang Yu-jin
%A <br>谭华春
%A 章毓晋
%J 电子与信息学报
%D 2007
%I 
%X In this paper, a new distance called person-similarity weighted distance is proposed for person-independent facial expression recognition. In the new method, expression features associated with all persons in training set are extracted by Higher-Order Singular Value Decomposition (HOSVD) firstly. Then, based on the assumption “similar persons have similar facial expression”, the person-similarity weighted distance is calculated to measure the similarity between the test expression and standard expressions. By the weighting process, the distance can remove the differences caused by individual and becomes less person-dependent. Experimental results show the superiority of proposed method over the existing methods.
%K Facial expression recognition
%K Person-independent
%K Person-similarity weighed distance
%K Higher-orderSingular value decomposition<br>人脸表情识别
%K 非特定人
%K 人脸相似度加权距离
%K 高阶奇异值分解
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=801AF7892DA23842&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=0B39A22176CE99FB&sid=366B1248A15658C5&eid=3389C664025A98F9&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=11