Registration for multi-station point cloud of terrestrial laser scanning

被引:0
|
作者
Guan, Yun-Lan [1 ]
Jia, Feng-Hai [2 ]
机构
[1] Faculty of Geomatics, East China Institute of Technology, Nanchang, Jiangxi 330013, China
[2] Yuyao Planning and Mapping Design Institute, Yuyao, Zhejiang 315400, China
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Pair-wise registration is a common method for registration of multi-views point clouds. Owing to the characteristics of error propagation and accumulation, using pair-wise registration method will result in severe distortion for object researched. In order to overcome this shortcoming, we present a new registration method. Firstly, we adopted coordinate system of first scan as a uniform coordinate system, used pair-wise registration method to calculate transformation parameters of adjacent two scans, and connected all point clouds into a loose network. Secondly, based on the common points that point cloud is adjacent to, and conditions that the first scan must have the same coordinates with real scanning coordinates in the first scan coordinate system, and common points between adjacent point clouds should haves the same coordinates in uniform system, we used nonlinear correction model to compute distortion parameters of each point cloud. And lastly we corrected distortion of each single point clouds and determined their best positions. An experiment was carried out and the result showed the correctness of the method.
引用
收藏
页码:880 / 886
相关论文
共 50 条
  • [21] MULTI-STATION SCANNING STRATEGY FOR COLLECTING APPEALING RADIO CONTENT
    Li, H.
    Guayrin, B.
    van Dinther, R.
    2009 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, 2009, : 231 - +
  • [22] Crossmodal Point Cloud Registration in the Hough Space for Mobile Laser Scanning Data
    Galai, Bence
    Nagy, Balazs
    Benedek, Csaba
    2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2016, : 3374 - 3379
  • [23] Automatic Registration of Terrestrial Laser Scanning Point Clouds using Panoramic Reflectance Images
    Kang, Zhizhong
    Li, Jonathan
    Zhang, Liqiang
    Zhao, Qile
    Zlatanova, Sisi
    SENSORS, 2009, 9 (04) : 2621 - 2646
  • [24] Auto-registration for terrestrial laser scanning multi-stations point clouds with bundle block adjustment method
    Yao, Jili
    Ma, Ning
    Jia, Xiangyang
    Han, Baomin
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2014, 43 (07): : 711 - 716
  • [25] Automated registration of dense terrestrial laser-scanning point clouds using curves
    Yang, Bisheng
    Zang, Yufu
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 95 : 109 - 121
  • [26] MULTI-PERSPECTIVE TERRESTRIAL LIDAR POINT CLOUD REGISTRATION USING PLANAR PRIMITIVES
    Wang, Hongping
    Liu, Xiuguo
    Yuan, Xiaohui
    Liang, Dong
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 6722 - 6725
  • [27] Multi-spectral registration fusion based on laser point cloud
    Yuan, Hanjie
    He, Yong
    Dong, Limeng
    Chen, Liang
    Zhang, Yu
    Yao, Jianan
    Tan, Qi
    2022 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, BIG DATA AND ALGORITHMS (EEBDA), 2022, : 50 - 53
  • [28] Registration of Multi-resolution Point Clouds from Terrestrial Laser Scanners
    Yan, Li
    Li, Zhen
    2010 18TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS, 2010,
  • [29] Generating 3D point-cloud based on combining adjacent multi-station scanning data in 2D laser scanning: A case study of Hokuyo UTM 30lxk
    Anh Thu Thi Phan
    Ngoc Thi Huynh
    ARCHIVES OF CIVIL ENGINEERING, 2021, 67 (04) : 451 - 467
  • [30] Airborne Laser Scanning Point Cloud Update by Used of the Terrestrial Laser Scanning and the Low-Level Aerial Photogrammetry
    Inglot, Adam
    Tysiac, Pawel
    2017 BALTIC GEODETIC CONGRESS (BGC GEOMATICS), 2017, : 34 - 38