Analysis of Geometric Distortion for Stereo Vision System by VDI/VDE 2634 Guideline

Ya Jing Wu, Bing Lin Ho, Hao Yuan Lin, Ju Yi Lee, Mang Ou-Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

3D structured light scanners have been widely applied in the industry for high-speed and automatic quality control. A lot of scientific research reported that the obtainable accuracy and precision of the scanner vary considerably, and imperfect camera calibration is the main error source in the scanners. Actually, the VDI/VDE 2634 guideline, proposed by Association of German Engineers and Association for Electrical Engineering, Electronics and Information Technologies, has been used for evaluating the accuracy of stereo vision systems. However, the sensitivities of the camera parameters and disparity map for the test results of VDI/VDE 2634 guideline have not been well evaluated. This paper proposes a method for sensitivity analysis based on the principle of stereo vision, Monte Carlo method and VDI/VDE 2634 Part 2 guideline. We simulate the point cloud result of the ball bar artefact with 7 different arrangements and calculate the dimension of sphere diameter, sphere form and sphere-spacing. The simulation results show that the farther ball would have greater systematic error, and the deviation of the focal length and the disparity map would considerably affect the 3D point cloud reconstruction. Moreover, measurement of the ball bar artefact at the different depths of view would efficiently derive the maximum permissible error (MPE) of 3D structured light scanners.

Original languageEnglish
Title of host publication31st International Scientific Symposium Metrology and Metrology Assurance, MMA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665445375
DOIs
StatePublished - 2021
Event31st International Scientific Symposium Metrology and Metrology Assurance, MMA 2021 - Sozopol, Bulgaria
Duration: 7 Sep 202111 Sep 2021

Publication series

Name31st International Scientific Symposium Metrology and Metrology Assurance, MMA 2021

Conference

Conference31st International Scientific Symposium Metrology and Metrology Assurance, MMA 2021
Country/TerritoryBulgaria
CitySozopol
Period7/09/2111/09/21

Keywords

  • Camera parameter
  • Error simulation
  • Point cloud

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