采用移动光靶标的分区域相机标定

刘书桂; 姜珍珠; 董英华; 张宏玲

doi:10.3788/OPE.20142202.0259

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采用移动光靶标的分区域相机标定

现代应用光学 | 更新时间：2020-08-13

- 采用移动光靶标的分区域相机标定
- Sub-regional camera calibration based on moving light target
- 光学精密工程 2014年22卷第2期页码：259-265
- 作者机构：
  
  天津大学精密测试技术及仪器国家重点实验室天津,300072
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20142202.0259
  中图分类号： TN386.5;TB853.1
- 收稿日期：2013-03-27，
  
  纸质出版日期：2014-02-20
- 稿件说明：
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刘书桂,姜珍珠,董英华等. 采用移动光靶标的分区域相机标定[J]. 光学精密工程, 2014,22(2): 259-265

LIU Shu-gui, JIANG Zhen-zhu, DONG Ying-hua etc. Sub-regional camera calibration based on moving light target[J]. Editorial Office of Optics and Precision Engineering, 2014,22(2): 259-265
刘书桂,姜珍珠,董英华等. 采用移动光靶标的分区域相机标定[J]. 光学精密工程, 2014,22(2): 259-265 DOI： 10.3788/OPE.20142202.0259.

LIU Shu-gui, JIANG Zhen-zhu, DONG Ying-hua etc. Sub-regional camera calibration based on moving light target[J]. Editorial Office of Optics and Precision Engineering, 2014,22(2): 259-265 DOI： 10.3788/OPE.20142202.0259.

摘要

针对工业视觉测量中的摄像机标定精度及效率低的问题

提出一种高精度CCD相机分区域标定方法。该方法首先利用三坐标测量机(CMM)带动圆形发光二极管(LED)光靶标按梯形台状做精确空间移动

结合最小二乘椭圆拟合算法求解光靶标的像面位置

并与CMM三维坐标形成精确的空间标定点集。同时

将像平面按圆环形对称结构分割成

个区域

并结合改进的Tsai算法分别对每个子区域进行相机参数的标定。标定实验结果表明:经过分区域标定

相机采集点的总误差比单区域标定法降低了17%(

=8)

单点平均误差降低了20%左右。算法可实现自动精确标定点采集

操作过程简单

基本满足中等精度的工业测量要求。所提出的相机标定法可应用于工业视觉测量

特别是大工件测量领域。

Abstract

A reliable sub-regional calibration method for CCD cameras was proposed to improve the accuracy and efficiency of industrial vision measurement. With the proposed method

a round light target was moved with the Coordinate Measuring Machine (CMM) according to a trapezoidal shape. The images of light target were processed with least square ellipse fitting algorithm to obtain the center positions. By 3D coordinates of CMM

a set of accurate calibration data were obtained. Furthermore

the image plane was separated into several sections according to the circle symmetrical structure and camera parameters in different regions were calculated with the sub-regional theory and improved Tsai method. Comparing with the sub-regional calibration method to single calibration one

the actual calibration experiments show that the total error is decreased by 17% when the image is separated 8 regions and the average error of single point is decreased about 20% . Experiments demonstrate that the data collection process is automatic and simple

and the camera calibration accuracy meets the medium precision of industrial measurement.It indicates that the method proposed is suitable for the industrial vision measurement

especially for the larger work piece measurement.

关键词

Keywords

references

张国雄. 坐标测量技术发展方向[J]. 红外与激光, 2008, 37(S1):1-5.

ZHANG G X. Development orientations of coordinate measuring techniques[J]. Infrared and Laser Engineering, 2008,37(S1):1-5. (in Chinese)

ZHU J G, LI Y J, YE S H. Calibration of line structured light vision system based on camera's projective center[J]. Opt. Precision Eng., 2005, 13(5):584-591.

ROBERT J H, PAULO H P. ZHANG G X, et al.. Coordinate Measuring Machines and Systems[M]. America: CRC Press, 2011.

陈刚,车仁生,叶东, 等. 一种基于立体模板的双目视觉传感器现场标定方法[J]. 光学精密工程, 2004, 12(6):626-631.

CHEN G, CHE R SH, YE D, et al.. Stereo vision sensor field calibration method based on volume template[J]. Opt. Precision Eng., 2004, 12(6):626-631.(in Chinese)

黄凤山,钱惠芬. 三坐标测量机驱动的摄像机标定技术[J]. 光学精密工程, 2010, 18(4):952-957.

HUANG F SH, QIAN H F. Camera calibration technology driven by three-coordinate measuring machine[J]. Opt. Precision Eng., 2010, 18(4):952-957. (in Chinese)

刘金国. 大视场光电测量系统的精密几何标定和畸变校正的研究[J]. 光学精密工程, 1994, 2(4):110-120.

LIU J G. Study on high accurate geometric calibration of precision photoelectronic measuring system with large field of view and distortion correcting[J]. Opt. Precision Eng., 1994, 2(4):110-120. (in Chinese)

QIU M L, MA S D, LI Y. Overview of camera calibration for computer vision[J]. Acta Automatica Sinica, 2000,26(1):43-55. (in Chinese)

ZHANG Z Y. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11):1330-1334.

黄凤山,刘书桂,彭凯,等. 光笔视觉测量系统结构参数的自标定与仿真[J]. 光电子·激光,2006, 17(6):705-708.

HUANG F SH, LIU SH G, PENG K, et al.. Self-calibration and simulation of the structure parameters in a light-pen vision measurement system[J]. Journal of Optoelectronics·Laser, 2006, 17(6):705-708.(in Chinese)

MAYBANK S J. A theory of self-calibration of a moving camera[J]. International Journal of Computer Vision, 1992,8(2): 123-151.

JIN J, LI X F. Efficient camera self-calibration method based on the absolute dual quadric[J]. Journal of the Optical Society of America, 2013, 30(3):287-292.

KWON H, PARK J, KAK A C. A new approach for active stereo camera calibration[C]. IEEE International Conference on Robotics and Automation,2007:3180-3185.

朱熹, 李醒飞, 徐颖欣. 摄像机的一种主动视觉标定方法[J]. 光学学报, 2010, 30(5):1297-1303.

ZHU X, LI X F, XU Y X. Camera calibration technique based on active vision[J]. Acta Optica Sinica, 2010, 30(5):1297-1303.(in Chinese)

YE D, XU Q Y, CHE R S. Camera calibration technique for vision measurement system[J]. Opt. Precision Eng., 2006, 14(5):883-890.

杨博文, 张丽艳, 叶南. 面向大视场视觉测量的摄像机标定技术[J]. 光学学报, 2012, 32(9):0915001-1-9.

YANG B W, ZHANG L Y, YE N. Camera calibration technique of wide-area vision measurement[J]. Acta Optica Sinica, 2012, 32(9):0915001-1-9. (in Chinese)

FAUGERAS O. Three-Dimensional Computer Vision: A Geometric Viewpoint[M].USA: MIT Press,1993.

钟海燕. 非线性最小二乘广义逆迭代算法及收敛性证明[J]. 广东工学院学报, 1990, 7(1):14-23.

ZHONG H Y. An iteration algorithm of generalized inverse of matrix for nonlinear least-square problem and its proof of convergence[J]. Journal of Guangdong Institute of Technology, 1990,7(1):14-23. (in Chinese)

刘书桂, 李蓬, 那永林. 基于最小二乘原理的平面任意位置椭圆的评价[J]. 计量学报, 2002, 23(4):245-247.

LIU SH G, LI P, NA Y L. Evaluation of the form error of ellipse based on least-square method[J]. Acta Metrologica Sinica, 2002, 23(4):245-247. (in Chinese)

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