• Acta Optica Sinica
  • Vol. 41, Issue 11, 1115002 (2021)
Jun Wu1、2, Xin Li3, Shaoyu Liu1, Yanling Li3, and Zhijing Yu3、*
Author Affiliations
  • 1Aeronautical Engineering College, Civil Aviation University of China, Tianjin 300300, China
  • 2State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
  • 3Electronic Information and Automation College, Civil Aviation University of China, Tianjin 300300, China
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    DOI: 10.3788/AOS202141.1115002 Cite this Article Set citation alerts
    Jun Wu, Xin Li, Shaoyu Liu, Yanling Li, Zhijing Yu. Global Three-Dimensional Reconstruction Method for Visual Detection of Aircraft Skin Damage Based on Rear Positioning[J]. Acta Optica Sinica, 2021, 41(11): 1115002 Copy Citation Text show less
    Schematic diagram of 3D reconstruction of Gray code structured light
    Fig. 1. Schematic diagram of 3D reconstruction of Gray code structured light
    Schematic diagram of global 3D reconstruction based on visual positioning of rear camera
    Fig. 2. Schematic diagram of global 3D reconstruction based on visual positioning of rear camera
    Improved structured light system diagram
    Fig. 3. Improved structured light system diagram
    Schematic diagram of camera imaging model
    Fig. 4. Schematic diagram of camera imaging model
    Self-calibration diagram of structured light system identification board
    Fig. 5. Self-calibration diagram of structured light system identification board
    Experimental flowchart of 3D reconstruction
    Fig. 6. Experimental flowchart of 3D reconstruction
    Calibration experimental diagram of structured light system
    Fig. 7. Calibration experimental diagram of structured light system
    Schematic diagram of 3D reconstruction experiment
    Fig. 8. Schematic diagram of 3D reconstruction experiment
    Point cloud data of aircraft global 3D reconstruction
    Fig. 9. Point cloud data of aircraft global 3D reconstruction
    Reprojection error map
    Fig. 10. Reprojection error map
    Analysis of 3D reconstruction accuracy of structured light. (a) Step gauge block; (b) measured fringes; (c) average height of step gauge block
    Fig. 11. Analysis of 3D reconstruction accuracy of structured light. (a) Step gauge block; (b) measured fringes; (c) average height of step gauge block
    Global 3D reconstruction accuracy analysis based on rear positioning. (a) Plate to be tested; (b) first position of measurement fringes; (c) point cloud error histogram
    Fig. 12. Global 3D reconstruction accuracy analysis based on rear positioning. (a) Plate to be tested; (b) first position of measurement fringes; (c) point cloud error histogram
    ICP stitching results of point clouds. (a) Splicing result of point cloud at 1st and 2nd positions; (b) point cloud stitching results at 1st, 2nd, and 3rd positions
    Fig. 13. ICP stitching results of point clouds. (a) Splicing result of point cloud at 1st and 2nd positions; (b) point cloud stitching results at 1st, 2nd, and 3rd positions
    Calibration objectParameterSpecific value
    CameraK2947.926701285.688602947.5967989.2459001.0000
    KC-0.08780.22520.00220.00140
    ProjectorK220.95000509.89180442.8512382.3334001.0000
    KC-0.0620-0.03460.001100
    Structured light systemR0.9967-0.0031-0.0814-0.00341.00000.00420.0814-0.00450.9967
    T49.2421-0.24540.2071
    Table 1. Calibration results of structured light system
    Jun Wu, Xin Li, Shaoyu Liu, Yanling Li, Zhijing Yu. Global Three-Dimensional Reconstruction Method for Visual Detection of Aircraft Skin Damage Based on Rear Positioning[J]. Acta Optica Sinica, 2021, 41(11): 1115002
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