Laser & Optoelectronics Progress, Volume. 61, Issue 20, 2011002(2024)

3D Imaging Based on the Adaptive Distribution of Projection Intensity in Overexposed Connected Domains (Invited)

Ziqiang Wei1,2, Sudong Ding1,2, Yan Hu1,2、*, Shuang Mu3, Kehui Wang4, Kun Gui4, Shijie Feng1,2, Chao Zuo1,2, and Qian Chen2
Author Affiliations
  • 1Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu , China
  • 2Jiangsu Key Laboratory of Spectral Imaging & Intelligence Sense, Nanjing 210094, Jiangsu , China
  • 3Shanghai Aerospace Control Technology Institute, Shanghai 201109, China
  • 4Konfoong Bioinformation Technology CO., LTD., Ningbo 315400, Zhejiang , China
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    Figures & Tables(13)
    Imaging model of fringe projection system
    Calculation process of feature points in the projector's coordinate system
    Processing of boundary mask mapping. (a) Mask corresponding to the boundary of the overexposed region; (b) boundaries are mapped directly to the pixel coordinate system of the projector; (c) automatically connect mapped boundaries; (d) obtained mask of overexposed region in the projector coordinate system
    Process of iterative adjustment of the maximum input grayscale
    Flow chart of 3D reconstruction based on iteratively adaptive projection
    Physical picture of system
    Process of dot plate. (a) Plate image; (b) captured fringe pattern; (c) obtained continuous phase map; (d) obtained maximum input grayscale; (e) marked overexposed regions; (f) extracted boundary of the overexposed regions
    Process of adaptive intensity of fringe projection. (a) Boundary results of direct mapping of overexposed region boundary; (b) corresponding projection space mask after connecting boundary of exposed area; (c) input grayscale map with reduced intensity of overexposed regions; (d) regenerated fringe pattern
    Comparison of the results before and after adaptive projection. (a) Generated fringe pattern after three iterations; (b) captured fringe pattern; (c) reconstruction of the plate using initial fringe images; (d) reconstruction of plate using adaptive projection
    Optimization process of reconstructing a fish bubble using adaptive projection. (a) Reconstructed 3D surface with dashed lines marking data for analysis; (b) comparison of reconstruction results after the second and third iterations
    • Table 1. System calibration results

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      Table 1. System calibration results

      Calibration parameterCameraProjector
      Intrinsic matrixAc=5035.0701263.0805035.07894.80001Ap=1959.710651.2801963.62404.86001
      Rotation matrixRc=-0.00800.9997-0.02350.99990.0080-0.0004-0.0002-0.0235-0.9997Rp=0.00200.90900.41670.9999-0.00240.00040.00130.4167-0.9090
      Translation vectortc=10.3788-46.5238419.3431Ttp=18.1418-50.4354467.3217T
      Reprojection error /pixel0.08240.0528
    • Table 2. Standard deviations between reconstructed plane and fitted plane

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      Table 2. Standard deviations between reconstructed plane and fitted plane

      Iteration0123
      Standard deviation6.85990.44830.35400.3126
    • Table 3. Adaptive projection reconstruction process of fish bubble tissue

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      Table 3. Adaptive projection reconstruction process of fish bubble tissue

      Iteration0123
      Fringe pattern
      Captured image
      3D result
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    Ziqiang Wei, Sudong Ding, Yan Hu, Shuang Mu, Kehui Wang, Kun Gui, Shijie Feng, Chao Zuo, Qian Chen. 3D Imaging Based on the Adaptive Distribution of Projection Intensity in Overexposed Connected Domains (Invited)[J]. Laser & Optoelectronics Progress, 2024, 61(20): 2011002

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    Paper Information

    Category: Imaging Systems

    Received: Jun. 28, 2024

    Accepted: Jul. 29, 2024

    Published Online: Nov. 8, 2024

    The Author Email: Hu Yan (hu_yan@njust.edu.cn)

    DOI:10.3788/LOP241569

    CSTR:32186.14.LOP241569

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