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一种新的图像中人眼定位方法
引用本文:张金敏,孟萍.一种新的图像中人眼定位方法[J].兰州铁道学院学报,2011(3).
作者姓名:张金敏  孟萍
作者单位:兰州交通大学机电工程学院;兰州交通大学自动化与电气工程学院;
基金项目:甘肃省自然科学B类基金(0916RJZA051)
摘    要:采用一种人脸-人眼两层结构的定位方法.首先利用YCbCr空间的肤色模型粗定位可能的人脸区域,然后利用支持向量机的训练结果组成分类器,对人眼进行初检,最后根据人脸特征完成信息融合,最终标定人眼.实验结果表明:该方法在简单及复杂背景下都能够得到较高的定位速度和精确度,具有较好的鲁棒性.

关 键 词:人脸检测  肤色模型  人眼定位  支持向量机  

New Algorithm for Eyes Location in Images
ZHANG Jin-min,MENG Ping.New Algorithm for Eyes Location in Images[J].Journal of Lanzhou Railway University,2011(3).
Authors:ZHANG Jin-min  MENG Ping
Institution:ZHANG Jin-min1,MENG Ping2(1.School of Mechatronic Engineering,Lanzhou Jiaotong University,Lanzhou,Lanzhou 730070,China,2.School of Automation & Electrical Engineering,China)
Abstract:The human eyes are usually directly located in the target images,so it is difficult to ensure higher accuracy and difficult to achieve it.This paper uses the human face-human eye structure.Firstly,a skin color model in YCbCr space is used for roughly locating regions of probable face.Then the results of the training of support vector machine classifier composed of the human eyes are used for prime positioning.Finally,it completes the windows merge.Experimental results indicate that the algorithm 1argely imp...
Keywords:face detection  skin color model  eyes location  support vector machine(SVM)  
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