• DocumentCode
    3366544
  • Title

    Issues in adapting research algorithms to stereoscopic visual effects

  • Author

    Hillman, Peter ; Lewis, J.P. ; Sylwan, Sebastian ; Winquist, Erik

  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    17
  • Lastpage
    20
  • Abstract
    Many published machine vision algorithms are designed to be real-time and fully automatic with low computational complexity. These attributes are essential for applications such as stereo robotic vision. Motion Picture Digital Visual Effect facilities, however, have massive computation resources available and can afford human interaction to initialise algorithms and to guide them towards a good solution. On the other hand, motion pictures have significantly higher accuracy requirements and other unique challenges. Not all machine vision algorithms can readily be adapted to this environment. In this paper we outline the requirements of visual effects and indicate several challenges involved in using image processing and machine vision algorithms for stereo motion picture visual effects.
  • Keywords
    computational complexity; computer vision; stereo image processing; adapting research algorithm; computational complexity; image processing; machine vision algorithm; motion picture digital visual effect facility; stereo motion picture visual effects; stereo robotic vision; stereoscopic visual effect; Cameras; Companies; Paints; Pipelines; Pixel; Stereo vision; Visual effects; Stereo; algorithms; computer vision; film; image processing; pipeline; visual effects;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5653542
  • Filename
    5653542