| 眼球的自动定位 |
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| 引用本文： | 王磊,莫玉龙.眼球的自动定位[J].红外与毫米波学报,1998,17(5):349-356. |
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| 作者姓名： | 王磊 莫玉龙 |
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| 作者单位： | 上海交通大学计算机科学与工程系 |
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| 基金项目： | 国家自然科学基金,上海市教委科学发展基金 |
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| 摘 要： | 提出了一种由粗到细自动定位人脸的一个重要特征即眼球圆心的方法，该方法综合运用局部二值化，霍夫变换，像纱聚类，边缘提取等技术，对均匀或非均匀光照下拍摄或戴眼镜的照片都能获得很高的定位精度，适用于处理证件照。
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| 关 键 词： | 霍夫变换 像素聚类 边缘提取 人脸识别 眼球 |
AUTOMATIC LOCALIZATION OF THE CENTRE OF IRIS |
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| WANG Lei MO Yu LongInstitute of Communication and Information Engineering,Shanghai University.AUTOMATIC LOCALIZATION OF THE CENTRE OF IRIS[J].Journal of Infrared and Millimeter Waves,1998,17(5):349-356. |
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| Authors: | WANG Lei MO Yu LongInstitute of Communication and Information Engineering Shanghai University |
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| Abstract: | A coarse to fine approach was presented, which can locate automatically an important feature often used in face recognition, the centre of the iris on human face. It combines such techniques as local binarization, Hough transform, pixels cluster and edge extraction. By this method, one could attain high localization accuracy whether the photo is taken under uniform or nonuniform light condition, whether the person wears glasses or not. So it is suitable for processing identification photos. |
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| Keywords: | Hough transform pixels cluster edge extraction feature extraction face recognition |
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