Information-Theoretic Oracle Based on Kernel Smoothness for Hierarchical Radiosity

One of the main problems in the radiosity method is how to discretise the surfaces of a scene into mesh elements that allow us to accurately represent illumination. In this paper we present a robust information-theoretic refinement criterion (oracle) based on kernel smoothness for hierarchical radio...

Full description

Bibliographic Details
Authors: Feixas Feixas, Miquel, Rigau Vilalta, Jaume, Bekaert, Philippe, Sbert, Mateu
Format: article
Status:Published version
Publication Date:2002
Country:España
Institution:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repository:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/24781
Online Access:http://hdl.handle.net/10256/24781
Access Level:Open access
Keyword:Informació, Teoria de la
Information theory
Infografia
Computer graphics
Description
Summary:One of the main problems in the radiosity method is how to discretise the surfaces of a scene into mesh elements that allow us to accurately represent illumination. In this paper we present a robust information-theoretic refinement criterion (oracle) based on kernel smoothness for hierarchical radiosity. This oracle improves on previous ones in that at equal cost it gives a better discretisation, approaching the optimal one from an information theory point of view, and also needs less visibility computations for a similar image quality