Advanced Search

ISSN1001-3806 CN51-1125/TN Map

Volume 38 Issue 3
Mar.  2014
Article Contents
Turn off MathJax

Citation:

Plane fitting of point clouds based on weighted total least square

  • Corresponding author: YUE Jianping, ghuac@163.com
  • Received Date: 2013-07-19
    Accepted Date: 2013-09-03
  • In order to improve the plane fitting precision of point cloud data, the intensity weighted total least square method was proposed. The method, based on the ordinary weighted total least square method, determined the weight value of plant fitting using the intensity information of each point in point cloud data. The application of the method was analyzed with three different homogenous data. Experimental results show that the method is effective for plane fitting of point clouds with good homogeneity, and more accurate solution can be obtained compared with total least squares method and least squares method. As for plane fitting of inhomogeneous point clouds, the total least squares method is superior to the proposed method.
  • 加载中
  • [1]

    YU H X, WU K, AO J F, et al. Extraction of building's feature lines based on 3-D laser scanning technology[J]. Laser Technology,2012,36(4):553-556(in Chinese).
    [2]

    QIU W N, TAO B Z, YAO Y B, et al. The theory and method of surveying data processing[M]. Wuhan: Wuhan University Press, 2008:161-175(in Chinese).
    [3]

    GOLUB G H, van LOAN C F. An analysis of the total least squares problem [J].SIAM Journal on Numerical Analysis, 1980, 17(6): 883-893.
    [4]

    van HUFFEL S, VANDEWALLE J. The total least squares problem: computational aspects and analysis [M]. Philadelphia,USA:Society for Industrial and Applied Mathematics, 1991:263-283.
    [5]

    ZHOU Y J, DENG C H. Weighted and unweighted total least square methods and applications to heteroscedastic 3-D coordinate transformation[J]. Geomatics and Information Science of Wuhan University, 2012, 37(8):976-979(in Chinese).
    [6]

    MARKOVSKY I, RASTELLO M, PREMOLI A,et al. The element-wise weighted total least-squares problem [J]. Computational Statistics and Data Analysis, 2006, 50(1):181-209.
    [7]

    SCHAFFRIN B, WIESER A. On weighted total least-square adjustment for linear regression [J]. Journal of Geodesy,2008,82(7): 415-421.
    [8]

    ZHANG Y. Research on point cloud processing of terrestrial laser scanning [D].Wuhan:Wuhan University, 2008: 43-47 (in Chinese).
    [9]

    CHEN W X, CHEN Y, YUAN Q, et al. Application of weighted total least squares to target fitting of three-dimensional laser scanning [J]. Journal of Geodesy and Geodynamics, 2010, 30(5):90-96(in Chinese).
    [10]

    YUAN Q,LOU L Z,CHEN W X. Appling weight total least-squares to the plane point cloud fitting of terrestrial laser scanning[J].Bulletin of Surveying and Mapping,2011(3):1-3(in Chinese).
    [11]

    WANG J X, JI K M.Industrial surveying fitting [M]. Beijing: Surveying and Mapping Press,2007: 43-45(in Chinese).
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article views(3380) PDF downloads(522) Cited by()

Proportional views

Plane fitting of point clouds based on weighted total least square

    Corresponding author: YUE Jianping, ghuac@163.com
  • 1. Department of Geomatics Engineering, Nanjing University of Technology, Nanjing 210009, China;
  • 2. School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China

Abstract: In order to improve the plane fitting precision of point cloud data, the intensity weighted total least square method was proposed. The method, based on the ordinary weighted total least square method, determined the weight value of plant fitting using the intensity information of each point in point cloud data. The application of the method was analyzed with three different homogenous data. Experimental results show that the method is effective for plane fitting of point clouds with good homogeneity, and more accurate solution can be obtained compared with total least squares method and least squares method. As for plane fitting of inhomogeneous point clouds, the total least squares method is superior to the proposed method.

Reference (11)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return