%0 Journal Article
%T Algebraic Feature Extraction of Images for Recognition<br>用于图象识别的图象代数特征抽取
%A Hong Ziquan
%A Yang Jingyu
%A <br>洪子泉
%A 杨静宇
%J 自动化学报
%D 1992
%I 
%X In this paper, it is proved that the Singular Value (SV) feature vector has some important properties such as the invariance to the algebraic and geometric transformations, and the insensitiveness to noise, Therefore, th SV feature is very useful for describing and recognizing images. As an example, the SV feature vector is used to a problem of recognizing human facial images. The normal pattern Bayes classification model based on the Sammon optimal discriminant plane is constructed. The experimental results show that the SV feature vector has strong ability for the separating classes.
%K Image recognition
%K algebraic feature extraction
%K singular value feature
%K human facial recognition
%K discriminant vector<br>图象识别
%K 代数特征抽取
%K 奇异值特征
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=8CE0A54FD5F12AFD1E4246CC699DB6AE&yid=F53A2717BDB04D52&vid=13553B2D12F347E8&iid=0B39A22176CE99FB&sid=FD7C952458BFB5D8&eid=9CA95D22FC1D537C&journal_id=0254-4156&journal_name=自动化学报&referenced_num=32&reference_num=3