%0 Journal Article
%T Algorithm of accurate eye detection of frontal facial images<br>正面人脸的眼睛精确定位算法
%A MA Yu
%A WANG You-gang
%A CHEN Lu
%A <br>马瑜
%A 王有刚
%A 陈鲁
%J 计算机应用
%D 2007
%I 
%X Using the scatter matrix that is related to the gray-level of irises, the algorithm first extracted intensity valleys as the candidates for the irises. Next, for each pair of candidates, the algorithm computed a cost using Hough transform and separability filter to measure the fit of the pair of candidates to the image. Experiments were carried out by using all faces without spectacles in the face database of the SJTUFace and BioID, the success rates of the proposed algorithm were 96.5% and 91.36% respectively.
%K eye detection
%K separability
%K hough-circle transform
%K cost function<br>眼睛定位
%K 分离度
%K 霍夫圆变换
%K 代价函数
%K 正面人脸
%K 精确定位算法
%K images
%K detection
%K accurate
%K 实验
%K BioID
%K 位置
%K 比较
%K 代价函数
%K 计算
%K 结果
%K 霍夫变换
%K 度信息
%K 分离
%K 综合
%K 候选点
%K 人脸图像
%K 区域
%K 检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD2743051275341A07A3997295&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=36534BF3EA0E1826&eid=F0C6824EC19052AD&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=16