Infrared and Laser Engineering, Volume. 49, Issue 7, 20200012(2020)

Defocus projection three-dimensional measurement based on deep learning accurate phase acquisition

Yang Zhao... Jia''an Fu, Haotian Yu, Jing Han and Dongliang Zheng |Show fewer author(s)
Author Affiliations
  • 南京理工大学 电子工程与光电技术学院,江苏 南京 210094
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    Figures & Tables(10)
    Schematic diagram of conventional high-speed 3D measurement
    Schematic of accurate phase acquisition. (a) Phase with noise;(b) proposed PDNet;(c) result by the proposed method
    Structure of the PDNet
    Simulation results. (a) Phase map with noise;(b) result by the proposed method;(c) comparison of the phase in the 100th column from Fig. 4(a),4(b) and the ground truth;(d) plotting error curves of the 100th column of Fig. 4(b) and 4(c)
    Phase error of simulated wrapped phase at T = 48,54,60,66,72,78
    Experiment results. (a) Phase map with noise;(b) result by the proposed method;(c) comparison of the phase in the 100th column from Fig. 6(a), 6(b) and the ground truth;(d) plotting error curves of the 100th column of Fig. 6(b) and 6(c)
    Phase error of actual measurement of wrapped phase at T= 48, 54, 60, 66, 72, 78
    Wrapping phase map before and after denoising and its error comparison. (a) Phase map with noise;(b) result by the proposed method;(c) phase error before denoising;(d) phase error after denoising
    Comparison of reconstruction results. (a) Reconstruction results before processing using the proposed method;(b) ideal reconstruction results;(c) reconstruction result by the proposed method;(d) reconstruction error curve
    • Table 1. Main network modules and parameters

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      Table 1. Main network modules and parameters

      TypeOut-FOut-Res
      ENCODER1Downsampler block16512×256
      2Downsampler block64256×128
      3−75 × Non-bt-1D64256×128
      8Downsampler block128128×64
      9Non-bt-1D(dilated 2)128128×64
      10Non-bt-1D(dilated 4)128128×64
      11Non-bt-1D(dilated 8)128128×64
      12Non-bt-1D(dilated 16)128128×64
      13Non-bt-1D(dilated 2)128128×64
      14Non-bt-1D(dilated 4)128128×64
      15Non-bt-1D(dilated 8)128128×64
      16Non-bt-1D(dilated 16)128128×64
      DECODER17Deconvolution (unsampling)64256×128
      18−192 × Non-bt-1D64256×128
      20Deconvolution (unsampling)16512×256
      21−222 × Non-bt-1D16512×256
      23Deconvolution (unsampling)C1 024×512
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    Yang Zhao, Jia''an Fu, Haotian Yu, Jing Han, Dongliang Zheng. Defocus projection three-dimensional measurement based on deep learning accurate phase acquisition[J]. Infrared and Laser Engineering, 2020, 49(7): 20200012

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    Paper Information

    Category: 光电测量

    Received: Apr. 13, 2020

    Accepted: --

    Published Online: Aug. 19, 2020

    The Author Email:

    DOI:10.3788/IRLA20200012

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