Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1212001(2022)

Three-Dimensional Reconstruction and Calculation of Shape Parameters of Movable Cultural Relics

Zepeng Su, Min Zhao*, Lingjian Zhu, Xiaogang Li, and Wei Shao
Author Affiliations
  • School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, Shaanxi , China
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    Figures & Tables(14)
    Steps of multi view geometric three-dimensional reconstruction
    Steps to reconstruct sparse point cloud with incremental SFM algorithm
    Variation trend of reconstructed rotation angle error with proportion of matching feature points
    Reconstruction results of sparse point cloud at different proportions of matching points. (a) 0.635; (b) 0.522; (c) 0.415; (d) 0.323; (e) 0.244; (f) 0.194; (g) 0.144; (h) 0.105
    Dense point cloud reconstruction results. (a) Front view; (b) side view; (c) vertical view
    Comparison of point cloud before and after denoising. (a) Before denoising; (b) after denoising
    Comparison before and after deleting outliers of point cloud. (a) Before deleting; (b) after deleting
    Reconstruction results of sparse point cloud at different proportions of matching points. (a) 0.582; (b) 0.483; (c) 0.398; (d) 0.321; (e) 0.191
    Before and after transformation of coordinate system of point cloud model. (a) Before transformation; (b) after transformation
    • Table 1. Proportion of matching feature points at different angular intervals

      View table

      Table 1. Proportion of matching feature points at different angular intervals

      Angular interval /(°)510152025303540
      Proportion of matching feature points0.6350.5220.4150.3230.2440.1940.1440.105
    • Table 2. Number of sparse point clouds and dense point clouds reconstructed under different proportions of matching feature points

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      Table 2. Number of sparse point clouds and dense point clouds reconstructed under different proportions of matching feature points

      Proportion of matching feature pointsNumber of sparse point cloudsNumber of dense point cloudsReconstruction time-consuming /min
      0.6355649090359723.5
      0.5223810989608310.6
      0.415249708843679.2
      0.323200068747177.6
      0.244161308053427.2
      0.194107177572755.7
      0.14477115708264.3
      0.10553031826432.1
    • Table 3. Reconstruction angle error and time-consuming at different proportions of matching points

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      Table 3. Reconstruction angle error and time-consuming at different proportions of matching points

      Proportion of matching feature points0.5820.4830.3980.3210.1910.092
      Angular interval /(°)369121518
      Reconstructed rotation angle error /(°)0.0210.0360.0940.1320.320Failed
      Reconstruction time-consuming /min25.212.110.68.85.4
    • Table 4. Results of shape parameters of vase calculated by improved oriented bounding box algorithm

      View table

      Table 4. Results of shape parameters of vase calculated by improved oriented bounding box algorithm

      Serial numberShape parameter
      LengthWidthHeightDiameter of bottom
      True value122.932140.088255.28596.009
      1122.83140.13255.4595.94
      2123.13140.01255.3695.92
      3122.92139.91255.4896.12
      4123.04139.94255.2395.83
      5122.81140.05255.5295.93
      6122.75139.98255.1295.78
      7122.74140.18255.3496.02
    • Table 5. Comparison between original algorithm and proposed algorithm

      View table

      Table 5. Comparison between original algorithm and proposed algorithm

      ProjectShape parameter
      LengthWidthHeightDiameter of bottom
      Original algorithmStandard deviation0.2380.1380.2470.153
      Max error0.337-0.3280.385-0.339
      Proposed algorithmStandard deviation0.1490.0990.1430.113
      Max error-0.1980.178-0.2350.229
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    Zepeng Su, Min Zhao, Lingjian Zhu, Xiaogang Li, Wei Shao. Three-Dimensional Reconstruction and Calculation of Shape Parameters of Movable Cultural Relics[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1212001

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Sep. 1, 2021

    Accepted: Sep. 23, 2021

    Published Online: May. 23, 2022

    The Author Email: Min Zhao (zhaomin1973@xaut.edu.cn)

    DOI:10.3788/LOP202259.1212001

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