Automatic camera calibration based on coded marker

ZENG Luan; ZHAI You; XIONG Wei

doi:10.3788/OPE.20152313.0696

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Automatic camera calibration based on coded marker

更新时间：2020-08-13

- Automatic camera calibration based on coded marker
- Optics and Precision Engineering Vol. 23, Issue 10z, Pages: 695-701(2015)
- 作者机构：
  
  中国人民解放军装备学院, 北京 101416
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20152313.0696
  CLC： V447.3;TP391
- Received：05 June 2015，
  
  Revised：21 June 2015，
  
  Published：14 November 2015
- 稿件说明：
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曾峦, 翟优, 熊伟. 利用编码标志实现相机自动标定[J]. 光学精密工程, 2015,23(10z): 695-701

ZENG Luan, ZHAI You, XIONG Wei. Automatic camera calibration based on coded marker[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 695-701
曾峦, 翟优, 熊伟. 利用编码标志实现相机自动标定[J]. 光学精密工程, 2015,23(10z): 695-701 DOI： 10.3788/OPE.20152313.0696.

ZENG Luan, ZHAI You, XIONG Wei. Automatic camera calibration based on coded marker[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 695-701 DOI： 10.3788/OPE.20152313.0696.

摘要

针对三维立体标定靶标存在制作困难、成本较高

标定控制点的提取和识别需要人工干预等弱点

设计了一种以编码标志为控制点的双平面立体靶标

并将其用于相机的标定

以提高相机标定的自动化程度。该靶标将两个标定平面平行放置

相机能够同时以较小的视点观测

透视畸变小;通过编码标志能够实现标定靶标的自动识别

无需人工干预。实验结果表明:在光照条件和观测视角存在较大差异的情况下

能够实现标定靶标的可靠、正确识别

将该标定靶标用于立体相机的标定

重投影误差小于0.075 pixel

三坐标测量误差小于1 mm。该靶标减少了标定过程的复杂程度

具有一定的工程应用价值。

Abstract

3D calibration targets have higher cost and are difficult to be fabricated. When they are calibrated

the control points for calibration should be extracted by manual intervention. Therefore

this paper designs a calibration stereo target with two parallel calibration planes by taking coded markers as the control points. The calibration stereo target is applied to camera calibration to improve its automation level. The two calibration planes of the new calibration target are placed by a parallel mode

so that the camera observes the two calibration planes with small viewpoint change and the perspective distortions can be reduced. Each control point is constituted by a circular coded marker

which is utilized to realize automatic recognition without manual intervention. Experiment results show that the calibration target can be correctly recognized under a large illumination and viewpoint change. When it is applied to stereo camera calibration

the mean re-projection errors of both cameras are less than 0.075 pixels and the position measurement error is less than 1 mm. The calibration target reduces the complexity of the calibration and is suitable for the engineering applications.

关键词

Keywords

references

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