• Laser & Optoelectronics Progress
  • Vol. 56, Issue 1, 011501 (2019)
Tao Wang, Zhan Li, Sheng Wang, Weilin Qiao, and Jun Wu*
Author Affiliations
  • Aeronautical Engineering Institute, Civil Aviation University of China, Tianjin 300300, China
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    DOI: 10.3788/LOP56.011501 Cite this Article Set citation alerts
    Tao Wang, Zhan Li, Sheng Wang, Weilin Qiao, Jun Wu. Blades Model Reconstruction Based on Speckle Vision Measurement[J]. Laser & Optoelectronics Progress, 2019, 56(1): 011501 Copy Citation Text show less
    (a) Speckle vision system and (b) its two-dimensional schematic diagram
    Fig. 1. (a) Speckle vision system and (b) its two-dimensional schematic diagram
    Diagram of spatial intersection
    Fig. 2. Diagram of spatial intersection
    Schematic of splicing principle
    Fig. 3. Schematic of splicing principle
    Flow chart of boundary point extraction
    Fig. 4. Flow chart of boundary point extraction
    (a) Actual measuring platform and (b) calibration target
    Fig. 5. (a) Actual measuring platform and (b) calibration target
    Binocular camera internal parameter calibration residuals. (a) Left camera; (b) right camera
    Fig. 6. Binocular camera internal parameter calibration residuals. (a) Left camera; (b) right camera
    Stereo matching of speckles. (a) Images to be matched; (b) matching images
    Fig. 7. Stereo matching of speckles. (a) Images to be matched; (b) matching images
    Blade point cloud reconstruction. (a) Front blade point cloud; (b) rear blade point cloud
    Fig. 8. Blade point cloud reconstruction. (a) Front blade point cloud; (b) rear blade point cloud
    Image processing of some markers
    Fig. 9. Image processing of some markers
    Visual splicing of blade surface point cloud
    Fig. 10. Visual splicing of blade surface point cloud
    (a) Boundary points of front blade; (b) fitting curve with the cubic B-spline method
    Fig. 11. (a) Boundary points of front blade; (b) fitting curve with the cubic B-spline method
    Splicing of blade point cloud fitting
    Fig. 12. Splicing of blade point cloud fitting
    (a) Fitting surface of front blade point cloud; (b) fitting surface of rear blade point cloud; (c) overall surface configuration of the blade
    Fig. 13. (a) Fitting surface of front blade point cloud; (b) fitting surface of rear blade point cloud; (c) overall surface configuration of the blade
    External parameterMatrix representation
    R0.98400.0160-0.1775-0.01810.9998-0.01060.17730.01370.9841
    T /mm-108.5240-3.48611.9005T
    Table 1. Calibration results of measuring system external parameters
    Test numberSSER-squareRMSE
    Test 145.620.99580.2895
    Test 240.190.99690.2703
    Test 337.480.99670.2740
    Test 443.590.99450.2832
    Test 542.510.99640.2810
    Table 2. Point cloud fitting analysis
    ParameterTest 1Test 2Test 3Test 4Test 5Measuredvalue /mmActualvalue /mmErrorvalue /mm
    Chord length46.14246.12646.20746.14346.13146.15046.2940.144
    Height50.23850.20750.18650.26350.13350.20550.3740.169
    Max thickness7.6657.7137.6877.7027.6787.6897.8360.147
    Arc length48.94148.93749.04948.97749.05648.99249.1450.153
    Table 3. Geometrical parameter errors of blade surface
    Tao Wang, Zhan Li, Sheng Wang, Weilin Qiao, Jun Wu. Blades Model Reconstruction Based on Speckle Vision Measurement[J]. Laser & Optoelectronics Progress, 2019, 56(1): 011501
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