Laser & Optoelectronics Progress, Volume. 57, Issue 12, 121120(2020)

New Segmentation Method Combining Three-Dimensional Point Cloud Skeleton Points and Feature Points

Renzhong Li* and Zhewen Liu
Author Affiliations
  • School of Electronic and Information, Xi'an Polytechnic University, Xi'an, Shaanxi 710048, China
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    Figures & Tables(13)
    Flow chart of algorithm
    Two-dimensional description and three-dimensional description. (a) Two-dimensional description; (b) three-dimensional description
    Segmentation effect. (a) Original point cloud data; (b) display of skeleton points and external feature points; (c) segmentation result
    Simulation results of dinosaur model. (a)(b) Proposed algorithm; (c) traditional algorithm in Ref. [11]
    Simulation results of ant model. (a)(b) Proposed algorithm; (c) traditional algorithm in Ref. [11]
    Simulation results of plane model. (a)(b) Proposed algorithm; (c) traditional algorithm in Ref. [11]
    Simulation results of hand model. (a)(b) Proposed algorithm; (c) traditional algorithm in Ref. [11]
    Simulation results of bird model. (a)(b) Proposed algorithm; (c) traditional algorithm in Ref. [11]
    Simulation results of sheep model. (a)(b) Proposed algorithm; (c) traditional algorithm in Ref. [11]
    Simulation results of giraffe model. (a)(b) Proposed algorithm; (c) traditional algorithm in Ref. [11]
    Simulation results of bear model. (a)(b) Proposed algorithm; (c) traditional algorithm in Ref. [11]
    Simulation results of shark model. (a)(b) Proposed algorithm; (c) traditional algorithm in Ref. [11]
    Simulation results of monster model. (a)(b) Proposed algorithm; (c) traditional algorithm in Ref. [11]
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    Renzhong Li, Zhewen Liu. New Segmentation Method Combining Three-Dimensional Point Cloud Skeleton Points and Feature Points[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121120

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    Paper Information

    Category: Imaging Systems

    Received: Oct. 14, 2019

    Accepted: Nov. 6, 2019

    Published Online: Jun. 3, 2020

    The Author Email: Li Renzhong (lirenzhong@xpu.edu.cn)

    DOI:10.3788/LOP57.121120

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