• DocumentCode
    728846
  • Title

    Point triangulation using Graham´s scan

  • Author

    Tereshchenko, Vasyl ; Tereshchenko, Yaroslav ; Kotsur, Dmytro

  • Author_Institution
    Fac. of Cybern., Taras Shevchenko Nat. Univ. of Kyiv, Kiev, Ukraine
  • fYear
    2015
  • fDate
    20-22 May 2015
  • Firstpage
    148
  • Lastpage
    151
  • Abstract
    In this paper, we propose a triangulation method for a set of points in the plane. The method is based on the idea of constructing convex layers by Graham´s scan. It allows to develop an algorithm with the optimal complexity of O(N logN) (in case of constant number of layers) and an easy implementation. Firstly, convex hulls are constructed for the set S of N points, forming k layers. Then, each layer is triangulated in one scan of the adjacent convex hulls. Algorithm is easily parallelized: each layer can be triangulated independently. The main feature of the proposed algorithm is that it has a very simple implementation and the elements (triangles) of the resulting triangulation are presented in the form of simple and at the same time fast data structures: concatenable triangle queue or triangle tree. This makes the algorithm convenient for solving a wide range of applied problems of computational geometry and computer graphics, including simulation in science and engineering, rendering and morphing.
  • Keywords
    computational complexity; computational geometry; data structures; trees (mathematics); Graham´s scan; computational geometry; computer graphics; concatenable triangle queue; convex hulls; convex layers; data structures; engineering; morphing; optimal complexity; point triangulation; rendering; science; simulation; triangle tree; Computational modeling; Computers; Cybernetics; Data structures; Electronic mail; Time complexity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Technology (INTECH), 2015 Fifth International Conference on
  • Conference_Location
    Galcia
  • Type

    conf

  • DOI
    10.1109/INTECH.2015.7173370
  • Filename
    7173370