• Acta Optica Sinica
  • Vol. 39, Issue 10, 1015002 (2019)
Jun Yan, Nan Ye*, Tingcheng Li, and Hongyu Zhu
Author Affiliations
  • College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China
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    DOI: 10.3788/AOS201939.1015002 Cite this Article Set citation alerts
    Jun Yan, Nan Ye, Tingcheng Li, Hongyu Zhu. Research and Implementation of Industrial Photogrammetry Without Coded Points[J]. Acta Optica Sinica, 2019, 39(10): 1015002 Copy Citation Text show less
    Schematic of photogrammetry without coded points
    Fig. 1. Schematic of photogrammetry without coded points
    Process of multi-view structure reconstruction without coded points
    Fig. 2. Process of multi-view structure reconstruction without coded points
    White basecoat of digital speckle pattern
    Fig. 3. White basecoat of digital speckle pattern
    Pseudocode of random growth method of speckle particle
    Fig. 4. Pseudocode of random growth method of speckle particle
    Speckle particles with random shapes
    Fig. 5. Speckle particles with random shapes
    Speckle patterns with different sizes of speckle particles. (a) 5-8 pixel; (b) 9-12 pixel; (c) 13-20 pixel
    Fig. 6. Speckle patterns with different sizes of speckle particles. (a) 5-8 pixel; (b) 9-12 pixel; (c) 13-20 pixel
    Speckle patterns with different proportions of speckle particles. (a) 20%; (b) 40%; (c) 60%
    Fig. 7. Speckle patterns with different proportions of speckle particles. (a) 20%; (b) 40%; (c) 60%
    Speckle patterns with different grayscale ranges (0-255) of speckle particles. (a) 40-100; (b) 20-80; (c) 0-60
    Fig. 8. Speckle patterns with different grayscale ranges (0-255) of speckle particles. (a) 40-100; (b) 20-80; (c) 0-60
    DIC matching results of projected speckles. (a) Left image; (b) right image
    Fig. 9. DIC matching results of projected speckles. (a) Left image; (b) right image
    Mismatching problem of DIC between images with large rotation angle. (a) Left image; (b) right image
    Fig. 10. Mismatching problem of DIC between images with large rotation angle. (a) Left image; (b) right image
    Matching strategy of RFDIC
    Fig. 11. Matching strategy of RFDIC
    Matching results of RFDIC and Patch Matching methods. (a) Reference image; (b) RFDIC method; (c) Patch Matching method
    Fig. 12. Matching results of RFDIC and Patch Matching methods. (a) Reference image; (b) RFDIC method; (c) Patch Matching method
    Pseudocode of multi-view geometry reconstruction without coded points
    Fig. 13. Pseudocode of multi-view geometry reconstruction without coded points
    Sheet metal of aircraft skin
    Fig. 14. Sheet metal of aircraft skin
    Experimental scene of photogrammetry without coded points
    Fig. 15. Experimental scene of photogrammetry without coded points
    Multi-view structure reconstructed by photogrammetry without coded points
    Fig. 16. Multi-view structure reconstructed by photogrammetry without coded points
    Point cloud and triangular mesh model reconstructed from two views
    Fig. 17. Point cloud and triangular mesh model reconstructed from two views
    Comparison of overall deviation of point cloud
    Fig. 18. Comparison of overall deviation of point cloud
    AlgorithmNumber of matching pointMatching rate /%Correlation coefficient
    RFDIC3142100>0.99
    Patch Matching3142100>0.99
    Table 1. Comparison of matching results between RFDIC and Patch Matching methods
    Running time/sAverage error /mmStandard deviation /mm
    RFDICPatch Matching
    1.6771.150.05480.0096
    Table 2. Comparison of running time and point cloud error between RFDIC and Patch Matching methods
    MethodAverage error /pixelRMSE /pixel
    SIFT0.1240.205
    RFDIC0.0530.074
    Table 3. Reprojection mean error and RMSE of multi-view structure
    MethodScale bar to recover scaleScale bar to be verifiedStandard distance /mmReconstructed distance /mmError /mm
    SIFT12860.916860.799-0.117
    21861.115861.2310.116
    Code points12860.916860.912-0.004
    21861.115861.1180.003
    RFDIC12860.916860.9210.005
    21861.115861.110-0.005
    Table 4. Reconstruction results and error comparison of scale bars’ length
    DirectionMaximum /mmAverage /mmStandard deviation /mm
    Negative-0.4605-0.05590.0475
    Absolute0.46050.05420.0464
    Positive0.43790.05210.0450
    Table 5. Comparison of point cloud deviations reconstructed from two views
    Jun Yan, Nan Ye, Tingcheng Li, Hongyu Zhu. Research and Implementation of Industrial Photogrammetry Without Coded Points[J]. Acta Optica Sinica, 2019, 39(10): 1015002
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