%0 Journal Article
%T Infrared face recognition using LBP and discrimination patterns<br>LBP与鉴别模式结合的热红外人脸识别
%A Xie Zhihu
%A Wu Shiqian
%A Fang Zhijun
%A <br>谢志华
%A 伍世虔
%A 方志军
%J 中国图象图形学报
%D 2012
%I 
%X To extract the discriminant local structural features,an improved infrared face recognition method based on LBP discrimination patterns is proposed in this paper.In traditional uniform patterns of LBP,the most frequency pattern information in nature image is chosen for image recognition.However,the most frequency patterns are not most suitable for face recognition.Based on supervised learn idea,pattern selection algorithm is proposed to get the LBP patterns which are most suitable for infrared face recognition.To make full use of the space locations information,the partitioning and LBP histogram are applied to get final features.The experimental results demonstrate the infrared face recognition method based on LBP and discrimination patterns proposed outperforms the traditional methods based on LBP or PCA.
%K local binary pattern(LBP)
%K infrared face recognition
%K pattern selection(PS)
%K separability discriminant (SD)
%K discrimination patterns<br>局部二进制模式(LBP)
%K 红外人脸识别
%K 模式选择
%K 可分性(SD)
%K 鉴别模式
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=C4354F1915DDC640894F9F7AD87083FA&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=B31275AF3241DB2D&sid=E008F9AD6D4B96EF&eid=FD6137FFCE59D193&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=13