3D Point Cloud Classification and Segmentation Model Based on Graph Convolutional Network-Reference-Cited by-同舟云学术

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3D Point Cloud Classification and Segmentation Model Based on Graph Convolutional Network

Published:2020 Issue:18 Volume:57 Page:181019
ISSN:1006-4125
Container-title:Laser & Optoelectronics Progress
language:en
Short-container-title:激光与光电子学进展

Author:

Hou Xiangdan 侯向丹,Yu Xixin 于习欣,Liu Hongpu 刘洪普

Publisher

Shanghai Institute of Optics and Fine Mechanics

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 基于空间图卷积的三维点云语义分割;Laser & Optoelectronics Progress;2023

2. A Multiscale Multi-Feature Deep Learning Model for Airborne Point-Cloud Semantic Segmentation;Applied Sciences;2022-11-20

3. Margin Line Deformation Network Based on Graph Convolution Combined with with Geometric Consistency;Journal of Computer-Aided Design & Computer Graphics;2022-09-01

4. Instance Segmentation of Point Cloud Based on Improved DGCNN for Robotic Grasping;2022 7th International Conference on Automation, Control and Robotics Engineering (CACRE);2022-07

5. 基于CAFF-PointNet的机载LiDAR点云语义分割;Laser & Optoelectronics Progress;2021

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