期刊文献+

基于共线性的机械臂视觉系统畸变矫正 被引量:1

Distortion Correction of Manipulator Vision System Based on Collinearity
下载PDF
导出
摘要 对机械臂视觉系统在进行动态测量分析时,通常因镜头畸变产生定位误差,对此问题进行了研究。提出了一种基于共线性的机械臂视觉系统畸变矫正方法。该方法在共线性原则的基础上,根据直线投影不变性原则和径向畸变模型的关系,对同一直线上的特征点坐标构造目标函数;利用Levenberg-Marquardt(LM)算法,对目标函数进行迭代寻优,获得全局畸变系数最优解。通过与传统方法比较发现,文章提出的方法得到的k1、k2的相对误差分别为-4.8%和-5.1%。与传统方法相比具有较好的可靠性。 A location error will be generated by the lens distortion when the vision system of a manipulator works.A lens distortion correction method based on collinearity is proposed to calibrate the parameters of the vision system.First,an objective function of points on a line is built based on the principle of constant linear projection and the radial distortion relationship.Second,the objective function is optimized by Levenberg-Marquardt(LM)algorithm to get the optimum estimate of the lens distortion coefficients.A lens distortion correction method is proposed to calibrate the parameters of the vision system.The relative errors between the calculated distortion coefficient k1、k2 and traditional methods are-4.8% and -5.1% respectively.The proposed correction method has a better reliable compared to the traditional methods.
作者 李佳莹 郭斌 江文松 罗哉 LI Jia-ying;GUO Bin;JIANG Wen-song;LUO Zai(College of Metrology and Measurement Engineering,China Jiliang University,Hangzhou 310018,China)
出处 《组合机床与自动化加工技术》 北大核心 2020年第12期121-124,共4页 Modular Machine Tool & Automatic Manufacturing Technique
基金 国家重点研发计划(2018YFF01012006,2017YFF0206306) 浙江省重点研发计划(2020C01096) 国家自然科学基金(51675499) 浙江省自然科学基金(LQ20E050016)。
关键词 机械臂 视觉系统 镜头畸变 共线性 非线性优化 manipulator vision system lens distortion collinearity nonlinear optimization
  • 相关文献

参考文献5

二级参考文献41

  • 1贺俊吉,张广军,杨宪铭.基于交比不变性的镜头畸变参数标定方法[J].仪器仪表学报,2004,25(5):597-599. 被引量:53
  • 2刘景鑫,周安国,刘更,刘建国,孟凡君.CR成像空间分辨率的实验研究[J].医疗设备信息,2005,20(7):10-11. 被引量:3
  • 3裴明涛,贾云得.基于主动视觉的摄像机线性自标定方法[J].北京理工大学学报,2006,26(1):27-30. 被引量:14
  • 4周富强,胡坤,张广军.基于共线特征点的摄像机镜头畸变校正[J].机械工程学报,2006,42(9):174-177. 被引量:32
  • 5You S, Neumann U, and Azuma R. Orientation Tracking for outdoor augmented reality registration[J ]. IEEE Computer Graphics and Applications 1999(19),36-42.
  • 6Tsai RY. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off - the shelf TV camera and lenses [J]. IEEE Journal of Robotic and Automation, 1987, RA - 3(4) :323 - 344
  • 7Weng J, Cohen P, Hernious M. Camera calibration with distortion models and accuracy evaluation[J].IEEE Transactions pattern analysis and machine intelligence, 1992,14 (10) :965 -980.
  • 8R Y Tsai.A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses [J].IEEE Journal of Robotics and Automation, 1987, 3(4): 323-344.
  • 9Z Zhang.A flexible new technique for camera calibration [J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330-1334.
  • 10J Y Bouguet.Camera calibration toolbox for MATLAB [EB/OL].http://www.vision.caltech.edu/bouguetj/calib_doc, 2004.

共引文献79

同被引文献9

引证文献1

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部