Calibration error compensation technique of stereoscopic vision measurement system

Authors

  • Enkun, C The 38th Research Institute of CETC, Hefei, 230000, China
  • Yanqing, T Lunan Technician College, Linyi, 276000, China; No.63618 Unit of PLA, 830000, China

Keywords:

Calibrated error compensation, Local optimization, Parameters coupling, Vision measurement

Abstract

The principle of the triangulation is used to conduct the 3D measurement by binocular vision measurement system, and its structural characteristics determine that the measurement error increases with the increase of the measurement distance. Aiming at the distribution law of the measurement error, the optimization method of the binocular vision measurement system based on the local FOV was proposed. The measurement coordinate system was established by using the external structure to reduce the systematic errors introduced by the inconsistence of the calibration and measurement process information. The coupling effect between camera parameters was used to compensate the calibrated error of the system inherent parameter, and a look-up table was established to realize the virtual mapping of the calibration parameters. The results show that the maximum error is less than 0.03 mm in simulation experiment, and the measurement error is less than 0.3% in systematic experiment. After the optimization, the main measurement error comes from the random error introduced by the detector discretization, and the binocular vision measurement system achieves the theoretical measurement accuracy. Copyright ©2020 Journal of Applied Optics. All rights reserved.

References

ZHU Shiping, GAO Yang, Noncontact 3-D coordinate measurement of cross-cutting feature points on the surface of a large-scale workpiece based on the machine vision method, IEEE Trans. Instrum. Meas, 59, 7, pp. 1874-1887, (2010);

ZHANG Yihao, SUN Dongmei, SHEN Yucheng, Et al., Feature points extraction and matching technology of binocular vision measurement system, Journal of Applied Optics, 37, 6, pp. 866-871, (2016);

WENG J Y, COHEN P, HERNIOU M., Camera calibration with distortion models and accuracy evaluation, IEEE Trans. Pattern Anal. Mach. Intell, 14, 10, pp. 965-980, (1992);

SHAHRAKI M N, HAALA N., Introducing free-function camera calibration model for central-projection and omni-directional lenses, SPIE, (2015);

GENG Kaizhen, GUO Zhihai, Calibration method for structured light 3D measurement system having single camera and single projector, Journal of Applied Optics, 39, 2, pp. 225-229, (2018);

SOPHI A, GIRARD P, THIBAULT S, Et al., Influence of camera calibration conditions on the accuracy of 3D reconstruction, Opt. Express, 24, 3, pp. 2678-2686, (2016);

JIA ZHenyuan, YANG Jinghao, LIU Wei, Et al., Improved camera calibration method based on perpendicularity compensation for binocular stereo vision measurement system, Opt. Express, 23, 12, pp. 15205-15223, (2015);

CUI Yi, ZHOU Fuqiang, WANG Yexin, Et al., Precise calibration of binocular vision system used for vision measurement, Opt. Express, 22, 8, pp. 9134-9149, (2014);

NI Zhangsong, GU Yi, LIU Qinglin, Et al., Flexible calibration method for binocular stereo vision in large field of view, Optics and Precision Engineering, 25, 7, pp. 1883-1889, (2017);

ZHI Jianhui, DONG Xinmin, Analysis of external influence factors in camera calibration, Journal of Applied Optics, 35, 2, pp. 286-291, (2014);

JORGE B, HELDER A, ANIBAL D A., Iterative multistep explicit camera calibration, IEEE Transactions on Robotics and Automation, 15, 5, pp. 897-917, (1999);

CAPRILE B, TORREE V., Using vanishing points for camera calibration, International Journal of Computer Vision, 4, pp. 127-140, (1990);

VIALA C R, JOSE A, SALMERON S., Lens distortion models evaluation, Appl. Opt, 49, 30, pp. 5914-5928, (2010); LEE H, DALTON G B, TOSH I A J, Et al., Computer-guided alignment III: description of inter-element alignment effect in circular-pupil optical systems, Opt. Express, 26, 15, pp. 10992-11006, (2008);

ZHAO Zhenqing, Research on key technologies of visual pose measurement system with large vision range for non-cooperative target, pp. 50-69, (2016);

GENOVESE K, CASALETTO L, RAYAS J A, Et al., Stereo-digital image correlation (DIC) measurements with a single camera using abiprism, Optics and Lasers in Engineering, 51, pp. 278-285, (2013);

WANG Zhenzhou, Removal of noise and radial lens distortion during calibration of computer vision systems, Opt. Express, 23, 9, pp. 11341-11356, (2015);

CUI Eenkun, WANG Yanjie, ZHANG Tao, Et al., Easy conductive calibration method for binocular vision system based on collinear image transfomation, Opt Eng, 56, 10, (2017)

Published

30-06-2020

How to Cite

Enkun, C., & Yanqing , T. (2020). Calibration error compensation technique of stereoscopic vision measurement system. Journal of Applied Optics, 41(1), 23–31. Retrieved from https://appliedopticsjournal.net/index.php/JAO/article/view/23

Issue

Section

Original Research Article

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