%0 Journal Article
%T Face recognition from single sample per class based on Gabor filtering<br>基于Gabor变换的每类单个训练样本人脸识别研究*
%A ZHUANG De-wena
%A b
%A ZHOU De-longa
%A WANG Xian-baoa
%A <br>庄德文
%A 周德龙
%A 王宪保a
%J 计算机应用研究
%D 2009
%I 
%X Based on high dimensional biomimetic information theory,this paper proposed a novel training samples covering algorithms using minimum spanning trees.By Gabor filtering,gained 40 Gabor sub-images,and then recognized these sub-images by HSN model.Made decision fusion by voting strategy for these 40 sub-images recognition result.Experiments performed on the YaleB_Extend and AR databases show the provided method can achieve a better performance than the PCA_NN when only using a single sample per class training...
%K Gabor wavelet
%K Gabor filtering
%K decision fusion
%K high dimensional biomimetic information theory
%K illumination
%K minimum spanning trees<br>Gabor小波
%K Gabor滤波
%K 决策融合
%K 高维仿生信息学
%K 光照
%K 最小生成树
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=DBD9AD58FE3411FE74A29DB7E4B17318&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=B31275AF3241DB2D&sid=449C92630EF78424&eid=E65CF17C571E9149&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=22