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人脸正面图像中眼睛的精确定位
引用本文:宋加涛,刘济林,池哲儒,王蔚.人脸正面图像中眼睛的精确定位[J].计算机辅助设计与图形学学报,2005,17(3):540-545.
作者姓名:宋加涛  刘济林  池哲儒  王蔚
作者单位:1. 浙江大学信息与通信工程研究所,杭州,310027;香港理工大学电子及资讯工程系多媒体信号处理中心,香港;宁波工程学院电子技术系,宁波,315016
2. 浙江大学信息与通信工程研究所,杭州,310027
3. 香港理工大学电子及资讯工程系多媒体信号处理中心,香港
4. 宁波工程学院电子技术系,宁波,315016
基金项目:浙江省自然科学基金 (60 2 118),宁波市青年基金 (0 2J2 0 12 0 0 2 )
摘    要:提出了人脸图像中眼睛定位方法,首先对灰度图像进行灰度形态学操作,所得谷图中像素数总体上随灰度级的增加而显著减少;用位于高端的灰度值作为阈值,逐次对谷图进行二值化,从所得二值图像中获得眼睛的候选位置;用PCA方法进行眼睛位置的最佳选择.该方法解决了二值化阈值步长的自适应选取问题.用AR,Yale和自建人脸数据库进行实验,得到眼睛定位成功率大于93%,平均定位偏差小于眼球半径的1/3.

关 键 词:眼睛定位  人脸图像处理  灰度数学形态学  谷图

Precisely Locating Human Eyes from Front-View Face Images
Song Jia-tao,Liu Ji-Lin,Chi Zhe-ru,Wang Wei.Precisely Locating Human Eyes from Front-View Face Images[J].Journal of Computer-Aided Design & Computer Graphics,2005,17(3):540-545.
Authors:Song Jia-tao  Liu Ji-Lin  Chi Zhe-ru  Wang Wei
Affiliation:Song Jiatao 1,2,3) Liu Jilin 1) Chi Zheru 2) Wang Wei 3) 1)
Abstract:In this paper, a novel method for automatic localization of human eyes from front-view face images is presented. By applying the grayscale morphology operation to a face image, we can obtain a valley map with a good property in which as a whole the number of pixels at a grayscale decreases significantly as the grayscale level increases. The valley map is then binarized with a set of threshold values determined adaptively, and several candidate eye locations are detected from the resultant binary images. The final eye positions are determined using a Principle Component Analysis (PCA) method. Experimental results on the AR, Yale and our own face image databases show that the correct eye location rate is over 93% and the location disparity on average is below 1?3 of the radius of an eye ball.
Keywords:eyes localization  face image processing  grayscale mathematical morphology  valley map
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