双目立体视觉测量系统的标定

杨景豪; 刘巍; 刘阳; 王福吉; 贾振元

doi:10.3788/OPE.20162402.0300

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双目立体视觉测量系统的标定

现代应用光学 | 更新时间：2020-08-13

- 双目立体视觉测量系统的标定
- Calibration of binocular vision measurement system
- 光学精密工程 2016年24卷第2期页码：300-308
- 作者机构：
  
  大连理工大学教育部精密特种加工实验室,辽宁大连,116024
- 作者简介：
- 基金信息：
  
  国家自然科学基金面上项目(No.51375075)();国家自然科学基金仪器专项基金资助项目(No.51227004)();国家973重点基础研究发展计划资助项目(No
- DOI：10.3788/OPE.20162402.0300
  中图分类号： TB92;TP391
- 收稿日期：2015-10-12，
  
  修回日期：2015-12-07，
  
  纸质出版日期：2016-02-25
- 稿件说明：
移动端阅览
杨景豪, 刘巍, 刘阳等. 双目立体视觉测量系统的标定[J]. 光学精密工程, 2016,24(2): 300-308

YANG Jing-hao, LIU Wei, LIU Yang etc. Calibration of binocular vision measurement system[J]. Editorial Office of Optics and Precision Engineering, 2016,24(2): 300-308
杨景豪, 刘巍, 刘阳等. 双目立体视觉测量系统的标定[J]. 光学精密工程, 2016,24(2): 300-308 DOI： 10.3788/OPE.20162402.0300.

YANG Jing-hao, LIU Wei, LIU Yang etc. Calibration of binocular vision measurement system[J]. Editorial Office of Optics and Precision Engineering, 2016,24(2): 300-308 DOI： 10.3788/OPE.20162402.0300.

摘要

考虑传统的自标定方法虽然无需场景信息即可实现摄像机标定

但是标定精度较低

故本文提出了一种新的大视场双目视觉测量系统自标定方法。该方法无需高精度标定板或者标定物

仅需利用空间中常见的平行线和垂直线建立摄像机参数与特征线间的约束方程

即可实现摄像机的内参数与旋转矩阵标定;同时利用空间中距离已知的3个空间点即可线性标定两摄像机间的平移向量。通过标定实验对本文提出的方法进行了验证。结果表明:该方法标定精度能够达到0.51%

可以较高精度地标定双目测量系统。由于避免了大视场测量系统标定中大型标定物制造困难

以及摄像机自标定过程中算法冗杂

标定精度不高等问题

该方法操作简便

精度较好

适用于大视场双目测量系统的在线标定。

Abstract

When traditional self-calibration methods are used to calibrate the cameras without scene information

it usually shows lower calibration accuracy. In order to solve this problem

an improved self-calibration method for a binocular vision measurement system was proposed. Without high-accuracy calibration pattern

the proposed method could calibrate intrinsic parameters and rotation matrixes only by using parallel and perpendicular lines to establishing the constraint equation between the camera parameter and the characteristic line. Meanwhile

the translation vector was calibrated by feature points with the known distances between them. The calibration experiment was conducted to verify the proposed method. It shows that the proposed method calibrates the binocular vision measurement system in high accuracy

the accuracy reaches to 0.51%. As the proposed method avoids the difficulties from the high-accuracy calibration pattern needed in the calibration of measuring system

and the complex algorithm and low calibration accuracy in camera self-calibration

it has advantages of easy operating and high accuracy.

关键词

Keywords

references

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