• DocumentCode
    1610766
  • Title

    Accelerating virtual walkthrough with visual culling techniques

  • Author

    Sunar, Mohd Shahrizal ; Sembok, Tengku Mohd Tengku ; Zin, Abdullah Mohd

  • Author_Institution
    Dept. of Comput. Graphics & Multimedia, Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Virtual walkthrough application allows users to navigate and immerse in the generated 3D environment with computer graphics assist. The 3D environment requires a large amount of geometry to make it look realistic. When the number of geometry increase, the performance of the application will become slower. Consequently, it creates a conflict between the needs of realistic and real time. In this paper, we discuss the implementation of visual culling techniques such as view frustum culling, back face culling and occlusion culling in the virtual walkthrough application. We render only what we can see during the application runtime and cull away unnecessary geometry. This will accelerate the performance of the system. Without the culling techniques implemented in virtual reality application such as virtual walkthrough, the system has to allocate a large space of memory to store the geometry data. We have tested these techniques to the Ancient Malacca data. With the visual culling techniques implemented, the virtual walkthrough system can work in real time mode without scarifying realism factor.
  • Keywords
    computational geometry; virtual reality; 3D environment; back face culling; computer graphics; frustum culling; geometry data; occlusion culling; virtual reality application; virtual walkthrough; visual culling techniques; Acceleration; Application software; Computational modeling; Computer graphics; Geometry; Navigation; Real time systems; Testing; Virtual reality; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing & Informatics, 2006. ICOCI '06. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-0219-9
  • Electronic_ISBN
    978-1-4244-0220-5
  • Type

    conf

  • DOI
    10.1109/ICOCI.2006.5276570
  • Filename
    5276570