• DocumentCode
    501223
  • Title

    Research on Models Mergence Algorithm Based on Delaunay Triangulation

  • Author

    Penggen, Cheng ; Lihong, Zhang ; Shaohua, Liu ; Genru, Xiao

  • Author_Institution
    Fac. of Geosci. & Geomatics, East China Inst. of Technol.(ECIT), Fuzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    387
  • Lastpage
    390
  • Abstract
    Model merging is widely used in many domains, such as geography modeling, 3D design of highway and railway route and so on. So it is essential to design an efficient model merging algorithm. The objective of this paper is to research on models merging algorithm based on Delaunay triangulation. A method of obtaining model merged intersection lines quickly and an algorithm of searching triangles on the inside of the intersection lines fast are proposed. For the purpose of implementing Delaunay triangulation models mergence, two main steps, that is insert the merged intersection lines into the Initial Delaunay triangulation ( IDT ), and cut the triangles inside of the intersection lines in IDT out, are adopted. The processes of models merging are expatiated detailedly. The proposed algorithms are implemented by using VC++ programming language and tested by some experiment data. The experimental result validated the correctness and feasibility about the proposed algorithms.
  • Keywords
    mesh generation; solid modelling; 3D design; Delaunay triangulation models mergence; VC++ programming language; geography modeling; model merging algorithm; Algorithm design and analysis; Data structures; Educational institutions; Educational technology; Geographic Information Systems; Geology; Geoscience; Information technology; Merging; Tin; Algorithms; DEM; Digital photogrammetry; Spatial modeling; Topographic mappin; Triangulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications, 2009. IFITA '09. International Forum on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3600-2
  • Type

    conf

  • DOI
    10.1109/IFITA.2009.378
  • Filename
    5231343