• DocumentCode
    597916
  • Title

    Plenoptic spherical sampling

  • Author

    Bagnato, L. ; Frossard, Pascal ; Vandergheynst, P.

  • Author_Institution
    Signal Process. Lab. (LTS2/LTS4), Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    357
  • Lastpage
    360
  • Abstract
    We present a novel plenoptic sampling scheme that permits an efficient representation of the full light ray field in a space limited by a convex closed surface. We show that a convenient way to sample the light ray field around an observer consists in using a discrete set of perspective imagers with overlapping field-of-views that are distributed on a closed convex surface and looking along the normal to the surface. Taking inspiration from the vision system of flying insects, we choose to constrain the cameras on a sphere of finite radius. Building on spectral analysis we propose a sampling scheme that permits to reconstruct the spherical light field without aliasing. We validate our framework through experiments in a synthetic environment and we show that our constructive sampling scheme permits to effectively reconstruct the light field without artifacts.
  • Keywords
    cameras; image reconstruction; image representation; image sampling; spectral analysis; cameras; closed convex surface; discrete set; field-of-view overlapping; finite radius sphere; flying insect vision system; full-light ray field representation; perspective imagers; plenoptic sampling scheme; plenoptic spherical sampling; spectral analysis; spherical light field reconstruction; synthetic environment; Cameras; Image reconstruction; Observers; Rendering (computer graphics); Spectral analysis; Surface reconstruction; Image based rendering; Plenoptic sampling; Spherical Imaging; omnidirectional imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6466869
  • Filename
    6466869