基于霍夫变换和眼睑弹性模板的眼睛特征提取  

AUTOMATIC EYE FEATURE EXTRACTION BASED ON HOUGH TRANSFORM AND EYELID DEFORMABLE TEMPLATE

作　　者：王磊[1,2] 莫玉龙[1,2] 戚飞虎[1,2] 

机构地区：[1]上海交通大学计算机科学与工程系 [2]上海大学(嘉定分区)通信与工程学院

出　　处：《红外与毫米波学报》1999年第1期53-60,共8页Journal of Infrared and Millimeter Waves

基　　金：国家自然科学基金;上海市教委科学基金

摘　　要：提出一种将新颖的眼睑弹性模板与霍夫变换相结合实现眼睛特征的自动提取的方法，即自动定位眼球并自动提取眼睛轮廓．与其它用弹性模板提取眼睛特征的方法相比，本方法可以处理对比度较低、下眼睑模糊的图像，提取特征准确度更高，且改进的能量函数和保守能量下降算法大大简化了经验参数的选择．经过百余幅眼睛图像的实验处理，验证了该方法的有效性．This paper proposes an automatic eye feature extraction method based on Hough transform and eyelid deformable template. It could locate the iris center and the contour of the eye automatically and correctly.Compared with other similar deformable template methods, this approach has the following advantages: It could be used to process those low contrast images in which the lower eyelid is blur. It could extract accurate feature.It simplifies the difficulty in selecting empirical coefficients by this improved energy functions and conservative energy descent algorithm (CEDA).Its efficiency and superiority are clarified by experimenting on about one hundred eye images.

关 键 词：弹性模板 霍夫变换 人脸 特征提取 眼睑 识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]