• DocumentCode
    2725180
  • Title

    In-situ Quantification of 3D Scene Complexity

  • Author

    Bilasco, Ioan Marius ; Espinosa, Rafael Lozano ; Martin, Hervé

  • Author_Institution
    LIG, St. Martin d´´Heres
  • fYear
    2009
  • fDate
    1-7 Feb. 2009
  • Firstpage
    34
  • Lastpage
    39
  • Abstract
    This work explores the quantification of the complexity of 3D scenes using frame rate evaluation. Viewpoints are dynamically generated and binded to the target scene in order to reproduce real user actions inside the scene. The SAI technology is used in order to record the observed frame rate. Several evaluation patterns are considered: examine an object, look at the center of the scene, look around a given point. This kind of information is very important because it shows 3D authors, if a specific 3D scene can be played adequately or not for a range of browsers. Indeed, this measure could be used to indicate whether adaptation techniques are to be considered before deploying a scene in a specific context. Authors can also yield interesting results for the designers. Low frame rates and hence high complexity in regions that lack of interest for target users imply possible design faults.
  • Keywords
    data visualisation; virtual reality; 3D scene complexity; frame rate evaluation; in-situ quantification; Cities and towns; Geographic Information Systems; Geometry; Home computing; Layout; Personal digital assistants; Robots; Runtime; Size measurement; Switches; 3D data; 3D visualization; contents adaptation; multimedia data; virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Geographic Information Systems & Web Services, 2009. GEOWS '09. International Conference on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4244-3363-6
  • Electronic_ISBN
    978-0-7695-3527-2
  • Type

    conf

  • DOI
    10.1109/GEOWS.2009.37
  • Filename
    4782688