%0 Journal Article
%T Color-based Skin Detection: A Survey<br>基于颜色的皮肤检测综述
%A XU Zhan-wu
%A ZHU Miao-liang
%A <br>徐战武
%A 朱淼良
%J 中国图象图形学报
%D 2007
%I 
%X This paper presents a comprehensive review and evaluation for color-based skin detection.The literature is reviewed in four categories: colorspace selection,skin color modeling,dynamic modeling and illumination invariance and adaptation.Using a large data set of 1 894 images,we examine whether the colorspace transformation can increase the compactness of skin distribution and the discriminability between skin and nonskin distributions in fourteen 3D colorspaces and fourteen 2D chrominance planes.We also evaluate the classification performance of skin probability map(SPM),Gaussian mixture model(GMM),self organizing map(SOM) and support vector machine(SVM) in said colorspaces.The results reveal that 1) the colorspace transformation cannot improve performance in general,the discriminability and testing performance in RGB and linear colorspaces are better than in other colorspaces,2) the Absence of the luminance component decreases discriminability and performance significantly,3) the performance of Bayes SPM in 3D colorspaces is superior to that of others,4) except 3D Bayes SPM,the 'color preference' of other detector is intrinsic and quite similar,5) the detector using skin and nonskin model simultaneously is better than the detector using skin model alone.
%K skin detection
%K colorspace
%K skin color model
%K dynamic model
%K illuminant invariance<br>皮肤检测
%K 颜色空间
%K 肤色模型
%K 动态模型
%K 光照不变性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=FEDFBE95F37D2DD5&yid=A732AF04DDA03BB3&vid=59906B3B2830C2C5&iid=38B194292C032A66&sid=389106FB36CA8332&eid=3BAAE0DA6093AC05&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=6&reference_num=63