• DocumentCode
    2712268
  • Title

    Accidental pinhole and pinspeck cameras: Revealing the scene outside the picture

  • Author

    Torralba, Antonio ; Freeman, William T.

  • Author_Institution
    Comput. Sci. & Artificial Intell. Lab. (CSAIL), MIT, Cambridge, MA, USA
  • fYear
    2012
  • fDate
    16-21 June 2012
  • Firstpage
    374
  • Lastpage
    381
  • Abstract
    We identify and study two types of “accidental” images that can be formed in scenes. The first is an accidental pinhole camera image. These images are often mistaken for shadows, but can reveal structures outside a room, or the unseen shape of the light aperture into the room. The second class of accidental images are “inverse” pinhole camera images, formed by subtracting an image with a small occluder present from a reference image without the occluder. The reference image can be an earlier frame of a video sequence. Both types of accidental images happen in a variety of different situations (an indoor scene illuminated by natural light, a street with a person walking under the shadow of a building, etc.). Accidental cameras can reveal information about the scene outside the image, the lighting conditions, or the aperture by which light enters the scene.
  • Keywords
    cameras; computer vision; image sequences; accidental images; accidental pinhole camera; accidental pinspeck camera; image shadows; image subtraction; indoor scene; inverse pinhole camera images; light aperture; natural light; picture; reference image; small occluder; video sequence; Apertures; Cameras; Lighting; Sensors; Shape; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4673-1226-4
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2012.6247698
  • Filename
    6247698