Chinese Journal of Ship Research, Volume. 19, Issue 6, 173(2024)

Intelligent recognition algorithm for hull segment closure surface components based on improved PointNet++

Rui LI1...2, Yirong ZHAO1, Shilin HUO1, Ji WANG1,2 and Weidong SHI3 |Show fewer author(s)
Author Affiliations
  • 1School of Naval Architecture and Ocean Engineering, Dalian University of Technology, Dalian 116024, China
  • 2Dalian Key Laboratory of Advanced Shipbuilding Technology, Dalian 116024, China
  • 3Dalian Shipbuilding Corporation Limited, Dalian 116011, China
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    References(4)

    [9] [9] QI C R, YI L, SU H, et al. Point++: deep hierarchical feature learning on point sets in a metric space[C]Proceedings of the 31st International Conference on Neural Infmation Processing Systems. Long Beach: Curran Associates Inc. , 2017: 51055114.

    [11] [11] TOMBARI F, SALTI S, DI STEFANO L. Unique signatures of histograms f local surface deion[C]The 11st European Conference on Computer Vision (ECCV 2010). Heraklion, Crete, Greece: Springer, 2010: 356−369.

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    Rui LI, Yirong ZHAO, Shilin HUO, Ji WANG, Weidong SHI. Intelligent recognition algorithm for hull segment closure surface components based on improved PointNet++[J]. Chinese Journal of Ship Research, 2024, 19(6): 173

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    Paper Information

    Category: Theory and Method of Intelligent Design for Ship and Ocean Engineering

    Received: Jan. 15, 2024

    Accepted: --

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03744

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