%0 Journal Article
%T Face recognition based on dual-tree complex wavelet feature<br>基于二元树复小波特征表示的人脸识别方法
%A HUANG Zhong-mei
%A ZHANG Xiao-hong
%A YANG Dan
%A <br>黄中美
%A 张小洪
%A 杨丹
%J 计算机应用
%D 2007
%I 
%X Approximate shift invariance,good directional selectivity,computational efficiency properties of Dual-tree Complex Wavelet Transform(DTCWT) make it a good candidate for representing the face features.This paper proposed a new dual-tree complex wavelet feature representation for face recognition.We got the directional and spatial/frequency characteristics of the patterns and classify different face patterns in terms of these characteristics.Experimental results show that the proposed DTCWT based feature extraction,combined with the Fisherface recognition method,(DCF) can extract optimally discriminate face feature and achieve high recognition rate and generalization.In addition,our experiments verify that the proposed feature extraction based on DTCWT outperforms which based on Gabor wavelet.
%K Dual-tree Complex Wavelet Transform(DTCWT)
%K Gabor wavelet
%K Fisherface
%K face recognition<br>二元树复小波变换
%K Gabor小波
%K Fisher脸
%K 人脸识别
%K 二元树复小波变换
%K 特征表示
%K 人脸图像
%K 识别方法
%K feature
%K complex
%K wavelet
%K based
%K recognition
%K 泛化能力
%K 识别率
%K 判别
%K 验证
%K 特征图
%K 信息生成
%K 多方向
%K 多尺度
%K 局部
%K 位置
%K 特征提取
%K 表示方法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD2743051213ACEC3C2D65B61C&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=94C357A881DFC066&sid=4A8E5D086592D016&eid=966760CE8B6E636C&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10