• DocumentCode
    2450929
  • Title

    Study of depth of field based on GPU post-processing

  • Author

    Wei Xiong ; Xuzhi Wang ; Feng Guo

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • fYear
    2012
  • fDate
    16-18 July 2012
  • Firstpage
    745
  • Lastpage
    749
  • Abstract
    Computer generated images by default render the entire scene in perfect focus. And computer graphics cameras lack the finite depth of field present in real world, this result in reducing the realism of the scene. Several depth of field methods have been proposed, in this paper, object space methods depth of field will be introduced, and the ray-tracing method will be put as the representative method. After then, this paper will focus on post-processing method based on GPU. The comparison result will be shown as the experiment section.
  • Keywords
    cameras; graphics processing units; natural scenes; ray tracing; rendering (computer graphics); GPU post-processing method; computer generated images; computer graphics cameras; depth of field; object space methods; ray-tracing method; Cameras; Computational modeling; Graphics processing units; Lenses; Ray tracing; Rendering (computer graphics);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0173-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2012.6376713
  • Filename
    6376713