Infrared and Laser Engineering, Volume. 50, Issue 12, 20210088(2021)

Multi-source point cloud registration method based on automatically calculating overlap

Xin Li, Site Mo*, Hua Huang, and Shiji Yang
Author Affiliations
  • College of Electrical Engineering, Sichuan University, Chengdu 610065, China
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    Figures & Tables(10)
    (a) Ideal corresponding points; (b) Nearest distance corresponding points; (c) Convergence curves of algorithms; (d) Distance curves of corresponding points; (e) Slopes between points on the distance curve and the original point; (f) Slope curves of different points
    Registration results for Bunny
    Registration results for Hippo
    Registration results for TBunny
    Registration results after adding noise to Bunny
    Point cloud of Maoxian landslide. (a) Image reconstruction point cloud; (b) Laser scanning point cloud
    Registration results of Maoxian landslide point cloud
    • Table 1. MSE and time consumption

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      Table 1. MSE and time consumption

      Point cloudAlgorithmMSETime/s
      Target:Bunny0°(40 097) Source:Bunny45°(40 256) ICP0.108 1604.197
      TrICP0.030 6594.215
      3D-NDT0.032 50763.264
      4PCS0.167 86220.493
      CFB-ICP0.030 6262.111
      Target:Hippo1(30 519) Source:Hippo2(21 935) ICP0.975 6533.280
      TrICP0.807 31912.824
      3D-NDT0.362 541206.879
      4PCS0.517 49323.725
      CFB-ICP0.163 1004.613
      Target:TBunny0°(31 327) Source:Bunny45°(40 256) ICP0.911 2773.092
      TrICP0.027 2145.266
      3D-NDT0.029 57456.107
      4PCS0.149 03120.975
      CFB-ICP0.027 0766.755
    • Table 2. MSE and time consumption after adding noise to Bunny

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      Table 2. MSE and time consumption after adding noise to Bunny

      Point cloudAlgorithmMSETime/s
      Target:Noise-Bunny0°(80 194) Source:Noise-Bunny45°(80 512) ICP0.122 02620.157
      TrICP0.065 85559.731
      3D-NDT0.151 467310.675
      4PCS0.157 33950.478
      CFB-ICP0.065 80644.103
    • Table 3. Results comparison of registration for Maoxian landslide

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      Table 3. Results comparison of registration for Maoxian landslide

      Point cloudAlgorithmMSETime/s
      Target: Laser scanning point cloud of Maoxian landslide (680 764) Source: Image reconstruction point cloud of Maoxian landslide (2 497 335) ICP36.349 60017.755
      TrICP1.683 42040.739
      3D-NDT2.284 38194.194
      4PCS12.335 44058.285
      CFB-ICP1.678 91013.299
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    Xin Li, Site Mo, Hua Huang, Shiji Yang. Multi-source point cloud registration method based on automatically calculating overlap[J]. Infrared and Laser Engineering, 2021, 50(12): 20210088

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    Paper Information

    Category: Lasers & Laser optics

    Received: Feb. 4, 2021

    Accepted: --

    Published Online: Feb. 9, 2022

    The Author Email: Site Mo (mosite@126.com)

    DOI:10.3788/IRLA20210088

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