基于模板匹配算法的人眼定位方法  

Study on Eye Location Method Based on Template Matching Algorithm

作　　者：刘源[1] 

机构地区：[1]桂林理工大学信息科学与工程学院,广西桂林541004

出　　处：《火力与指挥控制》2014年第5期124-126,共3页Fire Control & Command Control

基　　金：广西自然科学基金(2013GXNSFBA019277);桂科重项目(1355001-2-5);桂博资助项目(2011-3-9)

摘　　要：为了解决不同光线下人眼定位问题,提出一种将灰度阈值算法和模板匹配算法相结合的人眼定位方法。在该方法中,先对图像进行预处理,得到二值化图像,然后利用灰度阈值法,对图像的灰度值进行分析和比较,初步定位人眼可能出现的大概位置,缩小后期模板匹配区域。进一步利用模板匹配算法,在频域上匹配人眼,通过不同光线下采用相应的匹配权值进行匹配,精确定位人眼。实验结果证明,与传统单一模板匹配算法相比,该算法具有较好的光照鲁棒性,能够显著提高人眼的定位速度和定位准确度。To solve the problem of eye location in different lights,a new method of eye location is put forward,by the combination use of gray threshold method and template matching algorithm. To acquire the gray image,the original image is preprocessed at first of this method,and then to compare with the gray value of gray image by the use of gray threshold method,approximate location where human eyes may appear is analyzed,furthermore the matching area of later template is reduced. At last,the human eyes are accurately matched in the frequency domain by the usage of template matching algorithm,which has different formulas in different lights. The result shows that compared with traditional template matching algorithm,the algorithm improves the speed and accuracy of eye location with good illumination robustness.

关 键 词：人眼定位 灰度阈值 模板匹配 人脸识别 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]