双目视觉测量系统特征点提取与匹配技术研究  

Feature points extraction and matching technology of binocular vision measurement system

作　　者：张一豪[1] 孙冬梅[1] 沈玉成[1] 王振尧[1] 

机构地区：[1]南京工业大学电气工程与控制科学学院,江苏南京211816

出　　处：《应用光学》2016年第6期866-871,共6页Journal of Applied Optics

基　　金：江苏省人事厅江苏省博士后科研资助计划(1201012C);国家自然科学基金面上项目(51277092);江苏省科技支撑计划项目(BE2011188)

摘　　要：自主研发了一种光笔式双目立体视觉大工件尺寸测量系统,对测量系统中特征点的提取及其匹配技术进行了研究。测量系统采用Canny算子和Zernike矩相结合的算法实现椭圆光斑的亚像素边缘提取,根据得到的亚像素边缘点,采用基于最小二乘的曲线拟合法得到椭圆光斑的中心坐标。针对特征点的匹配问题,提出了一种基于位置约束的快速匹配方法。实验结果显示:所提方法能提取到椭圆光斑亚像素边缘,可精确计算出椭圆光斑中心坐标,匹配率达到95%以上。A light pen based binocular stereo vision measurement system for large-scale workpiece was developed,in which feature points extraction and matching technology were studied deeply.The sub pixel edge of ellipse spot was achieved accurately by the algorithm based on Canny operator and Zernike moments.Based on the ellipse spot edge points,the curve fitting method based on the least square was used to realize the center extraction of the ellipse spot.Aiming at the matching problem of feature points,the matching method based on position constraint was proposed.Experiment results demonstrate that the proposed method can extract the sub pixel edge of the ellipse spot,accurately calculate the center coordinate of the ellipse spot,and the matching rate is greater than 95%.

关 键 词：双目视觉 匹配 位置约束 特征点 

分 类 号：TN911.73[电子电信—通信与信息系统] TP27[电子电信—信息与通信工程]