Two-dimensional flexible target for calibrating camera

doi:10.3788/OPE.20111905.1134

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Two-dimensional flexible target for calibrating camera

Article | 更新时间：2020-08-12

- Two-dimensional flexible target for calibrating camera
- Optics and Precision Engineering Vol. 19, Issue 5, Pages: 1134-1142(2011)
- 作者机构：
  
  1. 中北大学电子与计算机科学技术学院,山西太原,030051
  2. 北京信息科技大学光电信息与通信工程学院北京,100192
  3. 北京邮电大学电子工程学院北京,100876
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20111905.1134
  CLC： TP391
- Received：02 February 2010，
  
  Revised：09 July 2010，
  
  Published Online：26 May 2011，
  
  Published：26 May 2011
- 稿件说明：
移动端阅览
杨剑, 杨秋翔, 秦品乐. 二维柔性拼接标定方法[J]. 光学精密工程, 2011,19(5): 1134-1142

YANG Jian, LV Nai-guang, QIN Ping-le, YANG Qiu-xiang. Two-dimensional flexible target for calibrating camera[J]. Editorial Office of Optics and Precision Engineering, 2011,19(5): 1134-1142
杨剑, 杨秋翔, 秦品乐. 二维柔性拼接标定方法[J]. 光学精密工程, 2011,19(5): 1134-1142 DOI： 10.3788/OPE.20111905.1134.

YANG Jian, LV Nai-guang, QIN Ping-le, YANG Qiu-xiang. Two-dimensional flexible target for calibrating camera[J]. Editorial Office of Optics and Precision Engineering, 2011,19(5): 1134-1142 DOI： 10.3788/OPE.20111905.1134.

摘要

针对大视场摄像机标定中高精度大尺寸靶标加工困难

小尺寸靶标标定精度不高的问题

提出了一种二维柔性拼接标定方法。二维柔性拼接靶标由多个小平面标定板(又称为子标定板)组成

每个子标定板平面上分为匹配区和扩展区

其中匹配区由编码点组成

多个子标定板通过编码点进行匹配

虚拟拼接成一个大面积的平面靶标(又称为母标定板)

通过计算可以得到母标定板上的坐标值及其相应的像点

从而可以标定出摄像机的内参数。仿真和实验结果表明

该方法和大面积的靶标标定的精度相当

当大面积标定板上的标志点和子标定板扩展区标志点数相同时

其标定相对误差为2%左右。该方法的优点在于制备标定板灵活方便

可以无限制地扩展标定面积。

Abstract

A camera calibration method based on the flexible spliced two-dimensional target is proposed to overcome the problems in the camera calibration that a large scale target with high precision is hard to fabricate and the smaller one cannot satisfy the required accuracy. The flexible spliced two-dimensional target consists of many small planar targets (called sub-target)

and each sub-target includes a matching area and an extending area. Those sub-targets are combined into a virtual large scale planar target (called mother-target) by encode in the matching area and the camera parameters are calibrated by the mother-target. Simulation and real experiment results indicate that the accuracy of the proposed calibration method is almost the same as that of Zhangs calibration method using a large planar target with the point numbers similar to that of the flexible spliced two-dimensional target. The relative error of the two calibration method is less than 2%. This method shows his advantages in that the target is convenient to be fabricated

and the area of target can be extended infinitely.

关键词

Keywords

references

TSAI R, LENZ R K. A new technique for fully autonomous and efficient 3D robotics hand/eye calibration [J]. IEEE Transactions on Robotics and Automation, 1989,5(3):345-358.[2] TSAI R. An efficient and accurate camera calibration technique for 3D machine vision . Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami, USA, 1986:364-374..[3] ZHANG Z Y. Flexible camera calibration by viewing a plane from unknown orientations . Proceedings of IEEE International Conference on Computer Vision, Kerkya, Greece:1999:666-673.[4] MENG X Q, LI H, HU Z Y. A new easy camera calibration technique based on circular points . Proceedings of the British Machine Vision Conference, Bristol, UK, 2000:496-505.[5] STURM P F, MAYBANK S J. On plane-based camera calibration: a general algorithm, singularities, applications . Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Colorado, USA, 1999:432-437.[6] ZHANG Z Y. Camera calibration with one-dimensional objects [J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 2004,26(7):892-899.[7] HAMMARSTEDT P, STURM P, HEYDEN A. Degenerate cases and closed-form solutions for camera calibration with one-dimensional objects . Proceedings of IEEE International Conference on Computer Vision, Beijing, China, 2005:317-324.[8] WU F C, HU Z Y, ZHU H J. Camera calibration with moving one-dimensional objects . Pattern Recognition, 2005,38(5):755-765.[9] 刘震,张广军,魏振忠. 一维靶标的多视觉传感器全局标定[J]. 光学精密工程,2008,11(16):2274-2280. LIU ZH, ZHANG G J, WEI ZH ZH. Global calibration of multi-vision sensor based on one dimensional target [J]. Opt. Precision Eng., 2008,16(11):2274-2280.(in Chinese)

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