Laser & Optoelectronics Progress, Volume. 61, Issue 18, 1815004(2024)

Camera Calibration Based on Improved Grey-Wolf Genetic Algorithm

Chunming Li1, Lü Dayong1、*, and Songling Yuan2
Author Affiliations
  • 1School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050091, Hebei, China
  • 2Shijiazhuang Jinghua Electronic Industry Co., Ltd., Shijiazhuang 050299, Hebei, China
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    Figures & Tables(13)
    Pinhole imaging model of camera
    Camera distortion
    Variation of convergence factor
    Improved grey-wolf genetic algorithm flow
    Some images of checkerboard grid captured by camera
    Corner point extraction of chessboard pattern
    Average reprojection error curve
    Distribution of reprojection error after optimization with different algorithms. (a) GWO; (b) IGA; (c) SSA; (d) proposed algorithm
    Average re-projection error after repeated calibration
    Calibration results under different noise levels
    • Table 1. Initial parameters of improved grey-wolf genetic algorithm

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      Table 1. Initial parameters of improved grey-wolf genetic algorithm

      ParameterNmaxNTsize0c0cendPm0
      Initial value100500150.80.30.01
    • Table 2. Camera calibration results based on improved grey-wolf genetic algorithm

      View table

      Table 2. Camera calibration results based on improved grey-wolf genetic algorithm

      Parameterfx /pixelfy /pixelu0 /pixelv0 /pixelk1k2k3p1p2ρ /pixel
      Value650.09350648.58910302.91380248.276600.30840-1.158500.959790.00713-0.009800.02054
    • Table 3. Calibration results of different algorithms

      View table

      Table 3. Calibration results of different algorithms

      ParameterGWOIGASSAProposed algorithm
      fx /pixel640.08930649.59240650.13380650.09350
      fy /pixel638.56900647.93130648.44540648.58910
      u0 /pixel292.91620302.55000302.86850302.91380
      v0 /pixel238.27780248.40420248.41740248.27660
      k1-2.193800.382550.312600.30840
      k2-5.55630-2.18540-1.32660-1.15850
      k3-2.036300.822501.265500.95970
      p1-2.538800.000800.001700.00710
      p2-6.14320-0.00440-0.00930-0.00980
      ρ /pixel0.076640.051570.030340.02054
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    Chunming Li, Lü Dayong, Songling Yuan. Camera Calibration Based on Improved Grey-Wolf Genetic Algorithm[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1815004

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    Paper Information

    Category: Machine Vision

    Received: Jan. 12, 2024

    Accepted: Mar. 7, 2024

    Published Online: Sep. 11, 2024

    The Author Email: Lü Dayong (2657479527@qq.com)

    DOI:10.3788/LOP240510

    CSTR:32186.14.LOP240510

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