%0 Journal Article
%T PCA-based location algorithm of human face features<br>基于主元分析的人脸特征点定位算法的研究
%A WANG Zhuo-yu
%A HE Qian-hua
%A <br>王琢玉
%A 贺前华
%J 计算机应用
%D 2005
%I 
%X An PCA-based location algorithm of human face features was presented.Eigenmouth was generated by prinicipal component analysis(PCA) with labelled mouth region image set.For an input image,the mouth region was recognized according to least residual error energy(LREE) criteria after the face region was first located.Then a restricted window scan stategy and comparability mearsurement P were introduced into the LREE algorithm.Experiment results show that the proposed method can locate mouth region easily,accurately and robustly.
%K PCA(Principal Component Analysis)
%K eigenmouth
%K LREE(Least Residual Error Energy)
%K comparability mearsurement<br>主元分析
%K 特征嘴
%K 最小剩余误差能量
%K 相似度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=0E3502C3CCB87FFB&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=9E137153D4946F03&eid=ADBCBDA20126732E&journal_id=1001-9081&journal_name=计算机应用&referenced_num=2&reference_num=4