瞳孔亚像素边缘检测与中心定位  

Subpixel edge detection and center localization of the pupil

作　　者：刘瑞安[1] 靳世久[1] 李文清[2] 宋维[3] 吴晓荣 

机构地区：[1]天津大学精密测试技术及仪器国家重点实验室,天津300072 [2]中国民航大学理学院,天津300300 [3]天津师范大学物理与电子信息学院,天津300074

出　　处：《计算机工程与应用》2007年第5期200-203,共4页Computer Engineering and Applications

基　　金：天津市高等学校科技发展基金项目(No.20051017);中国民航大学院内基金(No.05yk26s)

摘　　要：为提高视线跟踪系统的分辨率和精确度,提出了一种亚像素精度的边缘检测与中心定位算法。利用设计的一维边缘检测算子对瞳孔像素级边缘点进行提取,然后利用边缘点小邻域内梯度方向上图像信息,进行亚像素边缘位置检测,最后经椭圆拟合确定瞳孔中心的精确位置及瞳孔形状参数。仿真实验验证了算法的有效性,提出的算法已被成功应用于实时视线跟踪系统中。To improve the resolution and accuracy of a gaze tracking system,a sub-pixel edge detection algorithm is proposed in order to locate the center of the pupil accurately in IR image of the eye.With the proposed edge operator,the edge points of the pupil can be obtained by a 1D line search.Furthermore,utilizing the local information of the image in the gradient direction of the edge points,the algorithm can locate the edge points of the pupil in subpixel accuracy.And the algorithm can accurately determine the center and shape parameters of a human＇s pupil with an ellipse-fitting method.The experimental results indicate that the proposed algorithm achieved sub-pixel accuracy,which will significantly enhance the performance of the gaze tracking system. We have applied the algorithm to a real-time gaze tracking system.

关 键 词：边缘检测 亚像素 椭圆拟合 视线跟踪 红外图像 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置] TP391[自动化与计算机技术—控制科学与工程]