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Acta Optica Sinica, Volume. 44, Issue 8, 0812005(2024)

Position and Pose Estimation of Rigid Body Based on Three-Dimensional Digital Image Correlation

Yonghong Wang1,2, Wanlin Chen1,2, Bingfei Hou1,2, and Biao Wang1,2、*
Author Affiliations
  • 1School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, Anhui , China
  • 2Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei 230009, Anhui , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (13)
    Equations (0)
    References (18)
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    Paper Information
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    Figures & Tables(13)
    Principle of DIC. (a) Reference image; (b) deformed image

    Fig. 1. Principle of DIC. (a) Reference image; (b) deformed image

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    Principle of 3D-DIC

    Fig. 2. Principle of 3D-DIC

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    Schematic diagram of pose estimation system based on DIC

    Fig. 3. Schematic diagram of pose estimation system based on DIC

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    Flow chart of pose estimation system based on DIC

    Fig. 4. Flow chart of pose estimation system based on DIC

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    Physical diagram of measurement system

    Fig. 5. Physical diagram of measurement system

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    Measurement results of three translational degrees of freedom. (a) Absolute error; (b) relative error

    Fig. 6. Measurement results of three translational degrees of freedom. (a) Absolute error; (b) relative error

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    Measurement results of yaw angle

    Fig. 7. Measurement results of yaw angle

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    Experimental diagram of roll angle measurement

    Fig. 8. Experimental diagram of roll angle measurement

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    Measurement results of roll angle

    Fig. 9. Measurement results of roll angle

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    Measurement results of large angle of original and improved methods. (a) Absolute error; (b) relative error

    Fig. 10. Measurement results of large angle of original and improved methods. (a) Absolute error; (b) relative error

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    Flow chart of comparison experiment

    Fig. 11. Flow chart of comparison experiment

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    • Table 1. Results of camera calibration

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      Table 1. Results of camera calibration

      Camera

      parameter

      		Result
      Camera 1Camera 2

      Extrinsic

      parameter

      matrix

      R=0.9910.003-0.127-0.0010.9990.0170.127-0.0160.991

      t=181.677, 0.544, 27.981

      T=181.677, 0.544, 27.981

      Focal length /mmf1=49.745f2=50.121
      Radial distortion parameterskl=-0.285, 0.931Tk2=-0.386, -0.826T

    • Table 2. Comparison between proposed method and space vector method

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      Table 2. Comparison between proposed method and space vector method

      Pose

      parameter

      		Absolute error
      Proposed methodSpace vector method
      Transverse shift /mm0.040.04
      Longitudinal shift /mm0.030.02
      Elevation and subsidence /mm0.050.06
      Yaw angle /（°）0.210.32
      Roll angle /（°）0.200.26
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    Yonghong Wang, Wanlin Chen, Bingfei Hou, Biao Wang. Position and Pose Estimation of Rigid Body Based on Three-Dimensional Digital Image Correlation[J]. Acta Optica Sinica, 2024, 44(8): 0812005

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Sep. 28, 2023

    Accepted: Feb. 5, 2024

    Published Online: Apr. 11, 2024

    The Author Email: Wang Biao (wangbiao@hfut.edu.cn)

    DOI:10.3788/AOS231608

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology