| 基于多特征融合的平面旋转人脸的眼睛定位 |
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| 引用本文： | 谢淑丽,徐镇辉,陈锻生.基于多特征融合的平面旋转人脸的眼睛定位[J].漳州师院学报,2011(3):21-24. |
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| 作者姓名： | 谢淑丽 徐镇辉 陈锻生 |
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| 作者单位： | [1]漳州职业技术学院计算机工程系,福建漳州363000 [2]华侨大学计算机科学与技术学院,福建泉州362021 |
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| 基金项目： | 漳州职业技术学院2010年科研项目（ZZY1005） |
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| 摘 要： | 针对平面旋转人脸的眼睛定位问题,提出基于灰度、梯度及几何特征的眼睛定位方法,在彩色图像中先确定候选人脸区域,分割出眉眼区域,再进行眼睛精确定位及人脸的旋转角度判断.该方法对人脸平面旋转、脸部表情变化等有较好的鲁棒性,且运算量较少,容易实现.
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| 关 键 词： | 肤色分割 灰度 梯度 几何特征 眼睛定位 |
Eyes Positioning of the Plane Rotation Face based on Multiple Feature Fusion |
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| XIE Shu-li,XU Zhen-hui,CHEN Duan-sheng.Eyes Positioning of the Plane Rotation Face based on Multiple Feature Fusion[J].Journal of ZhangZhou Teachers College(Philosophy & Social Sciences),2011(3):21-24. |
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| Authors: | XIE Shu-li XU Zhen-hui CHEN Duan-sheng |
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| Institution: | 1.Department of Computer Engineering,Zhangzhou Institute of Technology,Zhangzhou,Fujian 363000,China;2.School of Information Science and Engineering,Huaqiao University,Quanzhou 362021,China) |
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| Abstract: | As for the measures of eyes positioning with plane rotation face,this paper puts forward such methods which are based on grayscale,gradient and geometrical features;the first step is to locate the face field of the person in the colorful pictures,then to segment the eyebrow area,finally to precisely locate the eyes and judge the rotation angle of the face.In this way we can get a better robustness for the face plane rotation and facial expressions,and the less computation makes it easy to implement. |
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| Keywords: | color segmentation grey scale gradient geometric features eyes positioning |
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