• Acta Optica Sinica
  • Vol. 44, Issue 8, 0812005 (2024)
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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    DOI: 10.3788/AOS231608 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Principle of DIC. (a) Reference image; (b) deformed image
    Fig. 1. Principle of DIC. (a) Reference image; (b) deformed image
    Principle of 3D-DIC
    Fig. 2. Principle of 3D-DIC
    Schematic diagram of pose estimation system based on DIC
    Fig. 3. Schematic diagram of pose estimation system based on DIC
    Flow chart of pose estimation system based on DIC
    Fig. 4. Flow chart of pose estimation system based on DIC
    Physical diagram of measurement system
    Fig. 5. Physical diagram of measurement system
    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
    Measurement results of yaw angle
    Fig. 7. Measurement results of yaw angle
    Experimental diagram of roll angle measurement
    Fig. 8. Experimental diagram of roll angle measurement
    Measurement results of roll angle
    Fig. 9. Measurement results of roll angle
    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
    Flow chart of comparison experiment
    Fig. 11. Flow chart of comparison experiment

    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 1. Results of camera calibration

    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
    Table 2. Comparison between proposed method and space vector method
    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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