机构地区: 上海交通大学电子信息与电气工程学院计算机科学与工程系
出 处: 《红外与毫米波学报》 1998年第5期349-356,共8页
摘 要: 提出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、像素聚类、边缘提取等技术,对均匀或非均匀光照下拍摄的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. 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.
领 域: [自动化与计算机技术] [自动化与计算机技术]