Research on Visualization Modeling Technology of Massive Laser Point Cloud 3D Data

被引:2
|
作者
Li Qing [1 ]
Feng Weixi [1 ]
Chen Huanbin [2 ]
机构
[1] Shenzhen Power Supply Bur Co Ltd, Shenzhen 518048, Guangdong, Peoples R China
[2] China Southern Power Grid Shenzhen Digital Grid R, Shenzhen 518034, Guangdong, Peoples R China
关键词
Point cloud data; Visualization; Digital city;
D O I
10.1109/TOCS50858.2020.9339749
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With the construction of digital city and the rapid development of large-scale 3D data acquisition technology, 3D laser scanning and dense matching of aerospace images have produced massive point cloud data. As a new digital representation method of 3D objects, 3D point cloud has gradually become a common processing object in various research and engineering applications because of its simplicity and flexibility. 3D point cloud data can build a real 3D city model for 3D geographic information system, simulation and virtual technology, and digital city construction. How to use the existing computer processing ability to efficiently organize and index the massive point cloud data and complete the 3D spatial visualization modeling of the point cloud data more quickly and accurately has become an important research topic. Massive point cloud data are collected by 3D laser scanning system, and finally saved to the computer. Through some software processing, the high-precision 3D model is reconstructed, and the 3D reconstruction and rapid visualization of point cloud data are realized.
引用
收藏
页码:94 / 97
页数:4
相关论文
共 50 条
  • [21] Transmission Line Modeling Based on 3D Laser Scanning Point Cloud
    Jiang, ZhaoQing
    Shang, ZhiZhou
    Ji, ShengXiang
    Wang, YuPeng
    Zhang, Xing
    2022 6TH INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND INTELLIGENT CONTROL, ISCSIC, 2022, : 352 - 356
  • [22] Research and Application of Hyperfine Realistic 3D Modeling Construction Based on Multisource Point Cloud Data
    Si, Chen
    Yang, Bogang
    Liu, Zengliang
    Luo, Mengjia
    Wang, Yongguo
    Tao, Yingchun
    Zuo, Xiaogang
    SENSORS AND MATERIALS, 2024, 36 (10) : 4343 - 4359
  • [23] Representing 3D Point Cloud Data
    Poux, Florent
    GIM INTERNATIONAL-THE WORLDWIDE MAGAZINE FOR GEOMATICS, 2022, 36 (04): : 36 - +
  • [24] Research on laser measurement point cloud preprocessing and 3D reconstruction technology for free-form surfaces
    Sun, Bin
    Song, Junfang
    Cao, Yi
    Zhao, Xiaoqian
    REVIEW OF SCIENTIFIC INSTRUMENTS, 2024, 95 (11):
  • [25] The study of point cloud data automatic merging technology in 3D measuring
    Su, Fa
    Cheng, Junting
    EMERGING SYSTEMS FOR MATERIALS, MECHANICS AND MANUFACTURING, 2012, 109 : 621 - +
  • [26] Research on Target Recognition and Tracking Based on 3D Laser Point Cloud
    Xu G.
    Niu H.
    Guo C.
    Su H.
    Xu, Guoyan (xuguoyan@buaa.edu.cn), 2020, SAE-China (42): : 38 - 46
  • [27] Research on Rapeseed Plant Modeling and Optimization from 3D Point Cloud
    Lei Hongyun
    Lin Chengda
    Zhai Ruifang
    Ao Yidan
    2015 FOURTH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS, 2015,
  • [28] 3D reconstruction and rendering visualization of tunnel point cloud
    Zhao, Haozheng
    Hu, Qingwu
    14TH GEOINFORMATION FOR DISASTER MANAGEMENT, GI4DM 2022, VOL. 48-3, 2022, : 93 - 101
  • [29] Study of technology of fast 3D modeling and visualization based on borehole data
    Liu Zhen-ping
    He Huai-jian
    Zhu Fa-hua
    ROCK AND SOIL MECHANICS, 2009, 30 : 260 - 266
  • [30] A Fast Modeling Method of 3D Mapping Based on Point Cloud Data
    Cui, Jianming
    Lu, Jing
    Yu, Qian
    CICTP 2020: TRANSPORTATION EVOLUTION IMPACTING FUTURE MOBILITY, 2020, : 446 - 457