Chinese Journal of Ship Research, Volume. 18, Issue 6, 268(2023)

Point cloud segmentation of flange laser scanning for ship shafting intelligent installation

Pan CHEN1,2,3, Baoyou SHANG1,2,3, Tianyun LI1,2,3, Weijia LI1,2,3, and Xiang ZHU1,2,3
Author Affiliations
  • 1School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, Shanghai 200240, China
  • 3Hubei Key Laboratory of Naval Architecture & Ocean Engineering Hydrodynamics, Wuhan 430074, China
  • show less
    References(11)

    [3] [3] LU Y, RASMUSSEN C. Simplified Markov rom fields f efficient semantic labeling of 3D point clouds[C]Proceedings of 2012 IEEERSJ International Conference on Intelligent Robots Systems. VilamouraAlgarve, Ptugal: IEEE, 2012: 2690−2697.

    [5] [5] SU H, MAJI S, KALOGERAKIS E, et al. Multiview convolutional neural wks f 3D shape recognition[C]Proceedings of 2015 IEEE International Conference on Computer Vision (ICCV). Santiago, Chile: IEEE, 2015: 945−953.

    [6] [6] MATURANA D, SCHERER S. Vox: a 3D convolutional neural wk f realtime object recognition[C]Proceedings of 2015 IEEERSJ International Conference on Intelligent Robots Systems (IROS). Hamburg, Germany: IEEE, 2015: 922−928.

    [7] [7] LES R Q, HAO S, MO K C, et al. Point: deep learning on point sets f 3D classification segmentation[C]Proceedings of 2017 IEEE Conference on Computer Vision Pattern Recognition (CVPR). Honolulu, HI, USA: IEEE, 2017: 77−85.

    [9] [9] WU Z R, SONG S R, KHOSLA A, et al. 3D Shapes: a deep representation f volumetric shapes[C]Proceedings of 2015 IEEE Conference on Computer Vision Pattern Recognition (CVPR). Boston, MA, USA: IEEE, 2015: 1912−1920.

    [10] [10] ARMENI I, SENER O, ZAMIR A R, et al. 3D semantic parsing of largescale indo spaces[C]Proceedings of 2016 IEEE Conference on Computer Vision Pattern Recognition (CVPR). Las Vegas, NV, USA: IEEE, 2016: 1534−1543.

    [12] SRIVASTAVA N, HINTON G, KRIZHEVSKY A et al. Dropout: a simple way to prevent neural networks from overfitting[J]. The Journal of Machine Learning Research, 15, 1929-1958(2014).

    [14] [14] LI R H, LI X Z, HENG P A, et al. PointAugment: an autoaugmentation framewk f point cloud classification[C]Proceedings of 2020 IEEECVF Conference on Computer Vision Pattern Recognition (CVPR). Seattle, WA, USA: IEEE, 2020: 6377−6386.

    [16] LEI H, JIANG G, QUAN L. Fast descriptors and correspondence propagation for robust global point cloud registration[J]. IEEE Transactions on Image Processing, 26, 3614-3623(2017).

    Tools

    Get Citation

    Copy Citation Text

    Pan CHEN, Baoyou SHANG, Tianyun LI, Weijia LI, Xiang ZHU. Point cloud segmentation of flange laser scanning for ship shafting intelligent installation[J]. Chinese Journal of Ship Research, 2023, 18(6): 268

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Marine Machinery, Electrical Equipment and Automation

    Received: Sep. 29, 2022

    Accepted: --

    Published Online: Mar. 21, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03114

    Topics