%0 Journal Article
%T Face Recognition Based on Feature Fusion and Boosting RBF Neural Network<br>基于多特征融合和BoostingRBF神经网络的人脸识别
%A JI Xin-hao
%A DING Rong-tao
%A <br>嵇新浩
%A 丁荣涛
%J 计算机科学
%D 2008
%I 
%X A new face recognition method based on feature fusion was proposed. Firstly, face projection coefficient features were extracted by NMF methods. Then these features were combined with the face rotation invariance Zernike moments features so as to get a new feature which had higher discriminating power. With this new feature, RBF neural network is used to class the face. In order to improve the precision of the RBF neural network for face recognition, boosting algorithm is used to build an integration-neural...
%K Face recognition
%K Zernike moments
%K Non-negative matrix factorization(NMF)
%K Boosting algorithm
%K RBF neural network<br>人脸识别
%K Zernike矩
%K 非负矩阵分解法
%K Boosting方法
%K RBF神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A9080E1AFED05F20EB635505DBB4492A&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=B31275AF3241DB2D&sid=E0F6F365E4766526&eid=FEF02B4635FE8227&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=5