Calibration of industrial cameras using asymmetric circle center projection

ZHU Wei-dong; CAO Liang-hong; MEI Biao; LI Jiang-xiong; Feng Pu-jia

doi:10.3788/OPE.20142208.2267

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Calibration of industrial cameras using asymmetric circle center projection

更新时间：2020-08-13

- Calibration of industrial cameras using asymmetric circle center projection
- Optics and Precision Engineering Vol. 22, Issue 8, Pages: 2267-2273(2014)
- 作者机构：
  
  1. 浙江大学机械工程学院系,浙江杭州,310027
  2. 中国航空工业集团公司陕西飞机工业（集团）有限公司,陕西汉中,723213
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20142208.2267
  CLC： TB853;TP391
- Received：29 November 2013，
  
  Revised：04 January 2014，
  
  Published：25 August 2014
- 稿件说明：
移动端阅览
朱伟东, 曹良洪, 梅标等. 利用圆心不对称投影精确标定工业相机[J]. 光学精密工程, 2014,22(8): 2267-2273

ZHU Wei-dong, CAO Liang-hong, MEI Biao etc. Calibration of industrial cameras using asymmetric circle center projection[J]. Editorial Office of Optics and Precision Engineering, 2014,22(8): 2267-2273
朱伟东, 曹良洪, 梅标等. 利用圆心不对称投影精确标定工业相机[J]. 光学精密工程, 2014,22(8): 2267-2273 DOI： 10.3788/OPE.20142208.2267.

ZHU Wei-dong, CAO Liang-hong, MEI Biao etc. Calibration of industrial cameras using asymmetric circle center projection[J]. Editorial Office of Optics and Precision Engineering, 2014,22(8): 2267-2273 DOI： 10.3788/OPE.20142208.2267.

摘要

工业相机常采用基于圆形控制点的方法进行标定，但该方法存在不对称投影问题，极易产生标定误差。为了避免引入不对称投影误差并能以迭代方式修正这一误差，本文提出了一种利用圆心不对称投影所蕴含信息的相机标定方法。首先，推导了平面模板上的圆形控制点投影成为椭圆之后的理论坐标；然后，提取每一幅标定板图像中实际椭圆的中心坐标，通过最小二乘算法求得该幅图像对应的精确投影变换矩阵；最后，利用所有的投影变换矩阵求出相机内参数。实验结果表明：采用本文提出的标定方法，标定结果的重投影误差降到了1/50 pixel。该方法可一次完成标定，计算简单，标定精度高，适用于工业相机的标定。

Abstract

The calibration of industrial cameras usually uses circular points as control points. However

there is asymmetric projection in the calibration

so that the calibration results have errors. In order to avoid the introduction of asymmetric projection error and to correct the error in an iteration form

this paper proposes a new camera calibration method by utilizing the asymmetric projection of circular centers. Firstly

the theoretical coordinate of the projection ellipse center from a circular point on the planar pattern was deduced

then the center coordinate of actual ellipse for the image of a calibration board was extracted and the projective transformation matrix was obtained by using nonlinear least square method. Finally

the camera intrinsic parameters were obtained by using all projective transformation matrixes. Experimental result reveals that the re-projection error of the calibration result of Baumer TXG12 industrial camera is just about 1/50 pixels by using proposed method. The method can complete the calibration at a time and is able to meet the precision requirement of industrial measurement in simpler calculation and higher accuracy.

关键词

Keywords

references

刘金桥,吴金强. 机器视觉系统发展及其应用[J]. 机械工程与自动化,2010,(1):9-10. LIU J Q, WU J Q. Development and application of machine vision systems [J]. Mechanical Engineering and Manufacturing and Automation, 2010, (1):9-10. (in Chinese)

杜宝瑞,冯子明,姚艳彬,等. 用于飞机部件自动制孔的机器人制孔系统[J]. 航空制造技术,2010,(2):47-50. DU B R, FENG Z M, YAO Y B, et al.. Robot drilling system for automatic drilling of aircraft component [J]. Aeronautical Manufacturing Technology, 2010,(2):47-50. (in Chinese)

TSAI R. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses [J]. Robotics and Automation, 1987, 3(4):323-344.

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

田梦倩. 机器人视觉系统标定问题研究综述[J]. 工业仪表与自动化装置,2006,(2):14-17. TIAN M Q. A survey of calibration in a visionrobot system [J]. Industrial Instrumentation & Automation, 2006, (2):14-17. (in Chinese)

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

ZHANG Z Y. Flexible camera calibration by viewing a plane from unknown orientations[C]. The Proceedings of the Seventh IEEE International Conference on IEEE, Kerkyra: Computer Vision, 1999, 1: 666-673.

MORÉ, JORGE J. The Levenberg-Marquardt Algorithm: Implementation and Theory[M]. Numerical analysis, Springer Berlin Heidelberg, 1978.

DATTA A, KIM J S, KANADE T. Accurate camera calibration using iterative refinement of control points[C]. 2009 IEEE 12th International Conference on IEEE, Kyoto: Computer Vision Workshops (ICCV Workshops), 2009: 1201-1208.

HEIKKILA J. Geometric camera calibration using circular control points[J]. Pattern Analysis and Machine Intelligence,2000, 22(10):1066-1077.

HEIKKILA J, SILVEN O. A four-step camera calibration procedure with implicit image correction[C]. Proceedings of 1997 IEEE Computer Society Conference, San Juan: Computer Vision and Pattern Recognition, 1997:1106-1112.

STROBL K H, SEPP W, HIRZINGER G. On the issue of camera calibration with narrow angular field of view[C]. IROS 2009, IEEE/RSJ International Conference, St. Louis, MO: Intelligent Robots and Systems, 2009: 309-315.

HEIKKILA J. Moment and curvature preserving technique for accurate ellipse boundary detection[C]. Fourteenth International Conference, Brisbane Qld: Pattern Recognition, 1998:734-737.

BOUGUET J Y. Camera calibration toolbox for matlab[OL]. URL http://www.vision.caltech.edu/bouguetj/calib_doc/, 2013.

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