Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1210017(2022)

Point Cloud Analysis Combining Gated Self-Calibration Mechanism and Graphical Convolutional Network

Jiali Xu1... Zhijun Fang1,* and Shiqian Wu2 |Show fewer author(s)
Author Affiliations
  • 1School of Electrical and Electronic Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
  • 2School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, Hubei , China
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    References(33)

    [4] Hou X D, Yu X X, Liu H P. 3D point cloud classification and segmentation model based on graph convolutional network[J]. Laser & Optoelectronics Progress, 57, 181019(2020).

    [5] Lu J X, Fang Z J, Chen J Y et al. RGB-D visualodometry combined with points and lines[J]. ActaOptica Sinica, 41, 0415001(2021).

    [6] Dai R Y, Fang Z J, Gao Y B. Unsupervised monocular depth estimation by fusing dilated convolutional network and SLAM[J]. Laser & Optoelectronics Progress, 57, 061007(2020).

    [7] Liu H, Wang X L. Remote sensing image segmentation model based on attention mechanism[J]. Laser & Optoelectronics Progress, 57, 041015(2020).

    [18] Zhang H, Goodfellow I J, Metaxas D N et al. Self-attention generative adversarial networks[C], 7354-7363(2019).

    [22] Wang X J, Ma J, Wang N N et al. Deep learning model for point cloud classification based on graph convolutional network[J]. Laser & Optoelectronics Progress, 56, 211004(2019).

    [23] Wang J G, He J, Pang D W. Point cloud classification and segmentation network based on dynamic graph convolutional network[J]. Laser & Optoelectronics Progress, 58, 1215008(2021).

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    Jiali Xu, Zhijun Fang, Shiqian Wu. Point Cloud Analysis Combining Gated Self-Calibration Mechanism and Graphical Convolutional Network[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210017

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    Paper Information

    Category: Image Processing

    Received: Jul. 29, 2021

    Accepted: Sep. 23, 2021

    Published Online: May. 23, 2022

    The Author Email: Fang Zhijun (zjfang@sues.edu.cn)

    DOI:10.3788/LOP202259.1210017

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