Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1610014(2022)

DGPoint: A Dynamic Graph Convolution Network for Point Cloud Semantic Segmentation

Youqun Liu, Jianfeng Ao*, and Zhongtai Pan
Author Affiliations
  • School of Architectural and Surveying Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi , China
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    References(34)

    [4] Zhao L, Hu J, Liu H et al. Deep learning based on semantic segmentation for three-dimensional object detection from point clouds[J]. Chinese Journal of Lasers, 48, 1710004(2021).

    [5] Chai Y J, Ma J, Liu H. Deep graph attention convolution network for point cloud semantic segmentation[J]. Laser & Optoelectronics Progress, 58, 1210016(2021).

    [6] Bao H L, Wan M, Liu Z X et al. Real-time semantic segmentation network based on regional self-attention[J]. Laser & Optoelectronics Progress, 58, 0810018(2021).

    [7] Wang Y T, Li Q. Terahertz holographic reconstructed image segmentation based on optimized region growth by evolutionary algorithm[J]. Chinese Journal of Lasers, 47, 0814003(2020).

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    Youqun Liu, Jianfeng Ao, Zhongtai Pan. DGPoint: A Dynamic Graph Convolution Network for Point Cloud Semantic Segmentation[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1610014

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    Paper Information

    Category: Image Processing

    Received: Sep. 30, 2021

    Accepted: Nov. 29, 2021

    Published Online: Aug. 8, 2022

    The Author Email: Jianfeng Ao (jfao008@163.com)

    DOI:10.3788/LOP202259.1610014

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