Laser & Optoelectronics Progress, Volume. 58, Issue 20, 2015009(2021)

Circular Hole Pose Measurement Method Based on Binocular Vision Epipolar Compensation

Jinyou Chen1,2 and Zhiwei Guan1,3、*
Author Affiliations
  • 1School of Automobile and Transportation, Tianjin University of Technology and Education, Tianjin 300222, China
  • 2Department of Automotive Engineering, Hunan Financial & Industrial Vocational-Technical College, Hengyang, Hunan 421002, China;
  • 3School of Automobile and Rail Transit, Tianjin Sino-German University of Applied Sciences, Tianjin 300350, China
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    Figures & Tables(7)
    Hole pose measurement based on binocular vision
    Template method contour purification based on morphology
    Points to be matched determined by Gaussian fitting method. (a) Edge contour of the circular hole; (b) enlarged part of the left area; (c) Gaussian fitting result of the best matching point
    Hole contour extracted by our method. (a) Original image; (b) edge detection; (c) ellipse fitted to the initial hole edge; (d) ellipse fitted to of the optimized hole edge
    Three-dimensional reconstruction result of the hole profile. (a) Left image; (b) right image; (c) reconstruction result
    Experimental results of deviation compensation. (a) Image of the measurement hole; (b) radius of the hole; (c) distance between the holes
    • Table 1. Characteristic parameters of reconstructed holes

      View table

      Table 1. Characteristic parameters of reconstructed holes

      No.Hole location /mmNormal vectorRadius /mmRadius error /mmHole spacing /mmHole spacing deviation /mm
      1(86.88, 43.70, 424.15)(0.089, -0.036, 0.997)2.5500.050----
      2(86.55, 33.71, 423.83)(0.089, -0.037, 0.997)2.5570.05710.000
      3(86.18, 23.79, 423.40)(0.087, -0.037, 0.997)2.5560.0569.940.04
      4(87.02, 13.87, 423.14)(0.086, -0.038, 0.997)2.5620.0629.960.06
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    Jinyou Chen, Zhiwei Guan. Circular Hole Pose Measurement Method Based on Binocular Vision Epipolar Compensation[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2015009

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    Paper Information

    Category: Machine Vision

    Received: Nov. 2, 2020

    Accepted: Dec. 22, 2020

    Published Online: Oct. 14, 2021

    The Author Email: Zhiwei Guan (guanzhiw5511@163.com)

    DOI:10.3788/LOP202158.2015009

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