• Laser & Optoelectronics Progress
  • Vol. 55, Issue 11, 111502 (2018)
Zhaopeng Zeng1, Jiangle Zhang1, Zhishang Wei1, Jun Wu1、*, and Fangping Chen2
Author Affiliations
  • 1 Aviation Engineering Institute, Civil Aviation University of China, Tianjin 300300, China
  • 2 School of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China
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    DOI: 10.3788/LOP55.111502 Cite this Article Set citation alerts
    Zhaopeng Zeng, Jiangle Zhang, Zhishang Wei, Jun Wu, Fangping Chen. Three-Dimensional Reconstruction Method Based on Smartphone Imaging[J]. Laser & Optoelectronics Progress, 2018, 55(11): 111502 Copy Citation Text show less
    Flow chart of three-dimensional reconstruction algorithm
    Fig. 1. Flow chart of three-dimensional reconstruction algorithm
    Calibration residual diagram. (a) Smartphone camera; (b) left camera of industrial camera; (c) right camera of industrial camera
    Fig. 2. Calibration residual diagram. (a) Smartphone camera; (b) left camera of industrial camera; (c) right camera of industrial camera
    Checkerboard calibration plate (dimensions: 63 mm×63 mm)
    Fig. 3. Checkerboard calibration plate (dimensions: 63 mm×63 mm)
    Image captured. (a) Smartphone camera; (b) industrial camera
    Fig. 4. Image captured. (a) Smartphone camera; (b) industrial camera
    Three-dimensional reconstruction results. (a) Smartphone camera; (b) industrial camera
    Fig. 5. Three-dimensional reconstruction results. (a) Smartphone camera; (b) industrial camera
    Image with reference points
    Fig. 6. Image with reference points
    Camera typeCamera parameter
    Internal reference matrixRadial distortionTangential distortion
    Smartphone camera3387.179002.0643390.17201908.3871518.18410.3421-1.85470.5462-0.0133-0.0086
    IndustrialcameraLeftcamera7344.06400-0.1767394.55801254.3291134.07210.0384-0.0250-0.05870.00110.0008
    Rightcamera7289.63400-2.6787197.65701254.3051256.90310.0412-0.0213-0.06370.00170.0012
    Table 1. Camera parameters
    ImageOriginalimage /mmAfter featureenhancement /mmMedianfilter /mm
    SmartphonecameraLocation 122.018222.051722.1054
    Location 222.157322.218622.2961
    IndustrialcameraLeft24.473724.501924.5873
    Right24.397124.534124.5931
    Table 2. Signal-to-noise ratio of images before and after pretreatment
    Device nameAverage of pointcloud distance /mmAverage of pointactual distance /mmScalefactor s
    Smartphone camera0.62510.000.0625
    Industrial camera0.69010.000.0690
    Table 3. Distance of adjacent data points
    Object to bereconstructedCoordinate ofthe point cloudPoint clouddistance /mmCalculatedistance /mmMeasuringdistance /mmAbsoluteerror /mmRelativeerror /%
    A(0.66,3.25,16)3.9663.4262.680.741.18
    B(-0.63,0.70,17.14)5.0781.0980.180.911.13
    C(5.54,-1.89,17.54)
    D(7.39,-1.51,13.78)0.6810.9010.320.585.63
    E(7.84,-1.55,14.29)4.4471.0070.001.001.43
    F(7.45,2.78,15.18)0.6910.9910.520.474.51
    G(7.44,3.42,15.43)
    H(5.59,3.34,16.92)4.9378.9180.20-1.29-1.61
    A(0.66,3.25,16.81)
    Absoluteaverage0.832.58
    Table 4. Coordinates, dimensions, and errors of smartphone camera reconstruction
    Object to bereconstructedCoordinate ofthe point cloudPoint clouddistance /mmCalculatedistance /mmMeasuringdistance /mmAbsoluteerror /mmRelativeerror /%
    A(0.44,1.54,8.33)4.3562.9862.680.300.40
    B(3.49,-0.77,10.39)5.5580.3980.180.210.27
    C(7.88,-3.96,11.54)
    D(7.91,-3.98,11.64)0.7510.9310.320.615.89
    E(8.21,-4.03,10.95)4.8670.4170.000.410.58
    F(4.19,-1.41,10.19)0.679.7410.52-0.787.44
    G(3.91,-1.38,10.80)
    H(3.41,4.69,11.68)5.4779.3480.20-0.86-1.08
    A(0.44,1.54,8.33)
    Absoluteaverage0.532.62
    Table 5. Coordinates, dimensions, and errors of industrial camera reconstruction
    Shooting distance /cmReconstruction accuracy /mm
    150.82
    200.83
    250.83
    300.85
    Table 6. Reconstruction accuracy at different shooting distances
    Zhaopeng Zeng, Jiangle Zhang, Zhishang Wei, Jun Wu, Fangping Chen. Three-Dimensional Reconstruction Method Based on Smartphone Imaging[J]. Laser & Optoelectronics Progress, 2018, 55(11): 111502
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