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
fDate :
Sept. 30 2012-Oct. 3 2012
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;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6466869