• DocumentCode
    2363115
  • Title

    Depth Perception from three blurred images

  • Author

    Simon, Thierry ; Simon, Christophe

  • Author_Institution
    Equipe Perceval de l´´IUT de Figeac
  • fYear
    2006
  • fDate
    6-10 Nov. 2006
  • Firstpage
    3222
  • Lastpage
    3226
  • Abstract
    Our idea deals with a spatial approach of depth perception based on blur analysis with three images of the same scene. In the first part of the paper, we discuss some models used and the assumptions made. We demonstrate how depth cues can be extracted from images of the same scene. Theoretical developments are made to highlight the possibilities of developing our method for real-time applications. This paper presents some numerical experiments to show the accuracy of the method
  • Keywords
    feature extraction; image resolution; blur analysis; blurred images; depth perception; image extraction; Apertures; Cameras; Computed tomography; Data mining; Focusing; Geometrical optics; Image analysis; Layout; Optical sensors; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
  • Conference_Location
    Paris
  • ISSN
    1553-572X
  • Print_ISBN
    1-4244-0390-1
  • Type

    conf

  • DOI
    10.1109/IECON.2006.347470
  • Filename
    4152967