Plenoptic Spherical Sampling

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 the our constructive sampling scheme permits to effectively reconstruct the light field without artifacts.