%0 Journal Article
%T Face feature recognition based on depth information<br>基于深度信息的人脸特征识别
%A SHAN Cheng-gan
%A LI Bao-hua
%A HU Qing-xin
%A <br>单承赣
%A 李葆华
%A 胡庆新
%J 计算机应用
%D 2007
%I 
%X A new method for positioning the face feature point by extracting depth information of partial face was proposed. Firstly, face region was determined by using clustering of the skin color in YCrCb chroma space. And then the proposed system got the relative depth of partial face through setting up a feed forward neural network to position the nose. Experimental results demonstrate that the performance of the proposed methodology is good.
%K face recognition
%K neural network
%K depth extracting<br>人脸识别
%K 神经网络
%K 深度提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=0A93FDA6ABFC42AB&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=F3090AE9B60B7ED1&sid=7DF420C9083BEA3A&eid=A66A80FA38AC44AA&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=9