• DocumentCode
    497132
  • Title

    Boolean Operations on Polygonal Meshes Using OBB Trees

  • Author

    Yongbin, Jing ; Liguan, Wang ; Lin, Bi ; Jianhong, Chen

  • Author_Institution
    Sch. of Resources & Safety Eng., Central South Univ., Changsha, China
  • Volume
    1
  • fYear
    2009
  • fDate
    4-5 July 2009
  • Firstpage
    619
  • Lastpage
    622
  • Abstract
    Algorithms for Boolean operations using BSP trees and other algorithms have problems with efficiency and robustness. In order to improve the speed and correctness of operations, a new algorithm for Boolean operations on polygonal meshes was presented. In this algorithm, a fast collision detection algorithm based on oriented bounding box (OBB) was employed, which speed up the intersection test between every two triangles of two different polygonal meshes. After getting the intersection segments, the polygons can be obtained from intersected triangles and intersection segments, then establish the intersection region. Finally, the ultimate result was obtained by acceptance or rejection for the other meshes based on intersection region and the neighborhood of these meshes. In this algorithm, orientability, topology and other geometric characteristics are made full use of. The result shows that the algorithm is efficient and robust. Furthermore, it can apply to both closed meshes and open meshes.
  • Keywords
    Boolean functions; computational geometry; trees (mathematics); Boolean operation; OBB tree algorithm; fast collision detection algorithm; oriented bounding box algorithm; polygonal meshes; Binary trees; Bismuth; Detection algorithms; Face detection; Partitioning algorithms; Robustness; Safety; Solid modeling; System testing; Topology; BSP trees; Boolean operations; OBB trees; intersection test; polygonal meshes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.128
  • Filename
    5200198