Infrared and Laser Engineering, Volume. 51, Issue 6, 20210491(2022)

3D point cloud registration algorithm with IVCCS

Chunyang Wang1,2, Guorui Li2, Xuelian Liu1、*, Chunhao Shi2, and Wenqian Qiu2
Author Affiliations
  • 1College of Optoelectronic Engineering, Xi'an Technological University, Xi′an 710021, China
  • 2College of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China
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    Figures & Tables(24)
    Schematic diagram of spatial voxelization
    Schematic diagram of voxelization and meshing parameters
    Search order of stream-constrained clustering algorithm
    Schematic diagram of small threshold denoising
    Schematic diagram of large threshold denoising
    Flow chart of IVCCS algorithm
    (a) VCCS and (b) IVCCS
    Visualization effect of Gazebo data registration
    Visual effect of data registration with noise
    Images taken by cameras with different viewing angles
    Point cloud images scanned by radar at different viewing angles
    Visual effect of car data registration
    Actual collected data of the library
    Visual effect of library data registration
    Actual collected data of the panzer
    Visual effect of panzer data registration
    • Table 1. Segment size of partial point cloud model in the data set

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      Table 1. Segment size of partial point cloud model in the data set

      ModelModel FragmentNumber
      GazeboGazebo_0135842
      Gazebo_1135589
      ScansScan_358254934
      Scan_372554818
    • Table 2. Statistics of experimental results of Gazebo ideal data

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      Table 2. Statistics of experimental results of Gazebo ideal data

      AlgorithmRMSETime/sIterations
      ICP1.49×10−5298.99629
      FPFH+ICP1.28×10−517.6524
      IVCCS+WICP1.06×10−52.29420
    • Table 3. Statistics of experimental results of the algorithm before and after improvement

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      Table 3. Statistics of experimental results of the algorithm before and after improvement

      AlgorithmRMSETime/sIterations
      VCCS+ICP2.14×10−57.68230
      VCCS+WICP1.34×10−52.44127
      IVCCS+ICP1.76×10−57.51830
      IVCCS+WICP1.16×10−52.29420
    • Table 4. Statistics of noise data results

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      Table 4. Statistics of noise data results

      AlgorithmNoiseRMSETime/sIterations
      ICP5%3.57×10−3485.125133
      FPFH+ICP2.83×10−324.82724
      IVCCS+WICP2.47×10−31.89615
      ICP10%4.18×10−3533.17142
      FPFH+ICP3.41×10−325.74827
      IVCCS+WICP3.12×10−32.22421
      ICP15%1.08×10−2942.03157
      FPFH+ICP9.57×10−327.25337
      IVCCS+WICP8.68×10−32.46825
    • Table 5. Actual collected data segment size

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      Table 5. Actual collected data segment size

      ModelModel fragmentNumber
      CarCar_view161699
      Car_view265015
      LibraryLibrary_view118933
      Library_view218925
      PanzerPanzer_view110828
      Panzer_view29298
    • Table 6. Statistics of car data results

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      Table 6. Statistics of car data results

      AlgorithmRMSETime/sIterations
      ICP6.39×10−4185.12541
      FPFH+ICP3.88×20−45.97821
      IVCCS+WICP2.92×10−51.47413
    • Table 7. Statistics of library data results

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      Table 7. Statistics of library data results

      AlgorithmRMSETime/sIterations
      ICP8.011×10−484.82859
      FPFH+ICP6.243×10−43.16531
      IVCCS+WICP5.386×10−40.94520
    • Table 8. Statistics of library data results

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      Table 8. Statistics of library data results

      AlgorithmRMSETime/sIterations
      ICP2.199×10−431.11638
      FPFH+ICP1.652×10−42.11221
      IVCCS+WICP1.388×10−40.72614
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    Chunyang Wang, Guorui Li, Xuelian Liu, Chunhao Shi, Wenqian Qiu. 3D point cloud registration algorithm with IVCCS[J]. Infrared and Laser Engineering, 2022, 51(6): 20210491

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    Paper Information

    Category: Image processing

    Received: Jul. 19, 2021

    Accepted: --

    Published Online: Dec. 20, 2022

    The Author Email:

    DOI:10.3788/IRLA20210491

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