%0 Journal Article
%T Robust classifier based two-layer Adaboost for precise eye location<br>双层结构Adaboost健壮分类器用于人眼精确定位
%A LIU Yi
%A GONG Wei-guo
%A LI Wei-hong
%A <br>刘艺
%A 龚卫国
%A 李伟红
%J 计算机应用
%D 2008
%I 
%X A two-layer eye classifier for eye detection was proposed. Two layers, double-eye layer and single-eye layer, had been trained and cascaded into a strong one for eye detection. Two-layer classifier was more robust in illumination invariance eye detection compared with YCbCr space eye map algorithm. Also, it kept the same detection rate as the commonly trained Adaboost eye classifier with a much lower error detection rate. Relationship among stages, training sample number and error detection rate had been analyzed to facilitate the training procedure.
%K eye detection
%K two-layer
%K Adaboost
%K error detection rate
%K illumination invariance<br>眼睛检测
%K 双层结构
%K Adaboost
%K 误检率
%K 光照变化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=11531E5EC3F18527DC9B243A2A8DBEF3&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=38B194292C032A66&sid=0018E43E61963A72&eid=EAF6504CC0383BDF&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=15