• DocumentCode
    2548535
  • Title

    The Research of Collision Detection Algorithm Based on Spatial Subdivision

  • Author

    Jin, Hanjun ; Liu, Zhiliang ; Wu, Tianzhen ; Wang, Yanxia

  • Author_Institution
    Dept. of Comput. Sci., Huazhong Normal Univ., Wuhan
  • Volume
    2
  • fYear
    2009
  • fDate
    22-24 Jan. 2009
  • Firstpage
    452
  • Lastpage
    455
  • Abstract
    Interactive environments for dynamically deforming objects play an important role in virtual environment. These environments require fast and efficient collision detection handling techniques. In this paper, we propose a new collision detection algorithm based on spatial subdivision, which can solve the collision detection problems between deformable objects. The object space is uniformly subdivided into a series of voxels, and then determines whether collision detection will happen by constructing binary sort tree. Based on distribution density of objects, an optimal method is proposed to compute the size of voxels in uniform division, compared to other collision detection algorithm through a serial of tests, the results show that the algorithm this paper proposes is superior in performance when massive objects are uniformly distributed; Besides, the performance of algorithm is more stable than other algorithms in consideration of variable correlation among objects.
  • Keywords
    computer animation; tree data structures; virtual reality; binary sort tree; collision detection algorithm; computer animation; dynamic object deformation; interactive environment; spatial subdivision; virtual environment; Animation; Computational geometry; Computational modeling; Computer simulation; Deformable models; Detection algorithms; Object detection; Solid modeling; Surgery; Virtual environment; collision detetion; uniform subdivision.; virtual environment; voxels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Technology, 2009. ICCET '09. International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-3334-6
  • Type

    conf

  • DOI
    10.1109/ICCET.2009.80
  • Filename
    4769642