Statistical Inverse Lighting

Inverse lighting techniques allows to obtain the unknown light sources parameters, such as light position orflux emission, from desired lighting intentions. In this paper we present a new inverse lighting technique thatuses the statistical mean and variance of the illuminated scene to obtain optimal solutions for a given lightingintention. This technique allows to explore a huge number of full radiosity solutions in a short time, reducingin this way drastically the optimization time required.