%0 Journal Article
%T A multi-view face recognition system<br>A Multi-View Face Recognition System
%A Zhang Yongyue
%A Peng Zhenyun
%A You Suya
%A Xu Guangyou
%A <br>Zhang Yongyue
%A Peng Zhenyun
%A You Suya
%A Xu Guangyou
%J 计算机科学技术学报
%D 1997
%I 
%X In many automatic face recognition systems, posture constraining is a key factor preventin g them from application. In thi5.paper, a series of strategles. will be described to achieve a system which enables face recognition under varying pose. These approaches include the multi-view face modeling, the threshold image based face feature detection, the affine transformation based face posture normalization and the template matching based face idelltification. Combining all of these strategies, a face recognition system with the pose invariance is designed successfully. Using a 75MHZ Pentium PC and with a database of 75 individuals, 15 images for each person, and 225 test images with various postures, a very good recognition rate of 96.89% is obtained.
%K Face recognition
%K template matching
%K normalization
%K varying pose<br>人脸识别系统
%K 模板匹配
%K 计算机显象
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=739CE12BAD72203A7BBE753B97391AEF&yid=5370399DC954B911&vid=59906B3B2830C2C5&iid=94C357A881DFC066&sid=8ACD9060100C26F1&eid=8CCD0401CC9AE432&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=0&reference_num=13