• DocumentCode
    1966591
  • Title

    Distance computation using OBB-trees

  • Author

    Diktas, Engin Deniz ; Sahiner, Ali Vahit

  • Author_Institution
    Comput. Eng. Dept., Bogazici Univ., Istanbul, Turkey
  • fYear
    2009
  • fDate
    14-16 Sept. 2009
  • Firstpage
    426
  • Lastpage
    431
  • Abstract
    Distance computation between geometric models plays an important role in a variety of areas such as robotics and computer graphics. In this paper we present a hierarchical method for computing the distance between two triangular mesh objects. Our method is based on direct utilization of OBB-trees. The only alternative method which uses OBB-trees for distance calculation is the swept-sphere-trees (SST) method where OBBs are indirectly used for construction. Our method employs an alignment scheme proposed for OBB-OBB intersection tests in the distance calculation context. This alignment allows us to reduce the OBB-OBB distance problem to computing the distance between two AABBs. In this paper we also propose an evaluation method, where we measure the parameters affecting the computation time as a function of the distance between object pairs. This allows an effective comparison of the bounding volumes under consideration. Using this scheme we compare the performance of the proposed method with the SST-method which is widely used for distance computation.
  • Keywords
    mesh generation; network theory (graphs); trees (mathematics); OBB-trees; distance calculation; distance computation; geometric model; swept-sphere-trees; triangular mesh objects; Computational modeling; Computer graphics; Motion planning; Robot motion; Robotic assembly; Skeleton; Solid modeling; Testing; Time measurement; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Sciences, 2009. ISCIS 2009. 24th International Symposium on
  • Conference_Location
    Guzelyurt
  • Print_ISBN
    978-1-4244-5021-3
  • Electronic_ISBN
    978-1-4244-5023-7
  • Type

    conf

  • DOI
    10.1109/ISCIS.2009.5291854
  • Filename
    5291854