Information Theory Tools for Scene Discretization

Feixas, Miquel; Acebo, Esteve del; Bekaert, Philippe; Sbert, Mateu

Information Theory Tools for Scene Discretization

Files

095-106.pdf (170.52 KB)

Date

1999

Authors

Feixas, Miquel
Acebo, Esteve del
Bekaert, Philippe
Sbert, Mateu

Publisher

The Eurographics Association

Abstract

Finding an optimal discretization of a scene is an important but difficult problem in radiosity. The efficiency of hierarchical radiosity for instance, depends entirely on the subdivision criterion and strategy that is used. We study the problem of adaptive scene discretization from the point of view of information theory. In previous work, we have introduced the concept of mutual information, which represents the information transfer or correlation in a scene, as a complexity measure and presented some intuitive arguments and preliminary results concerning the relation between mutual information and scene discretization. In this paper, we present a more general treatment supporting and extending our previous findings to the level that the development of practical information theory-based tools for optimal scene discretization becomes feasible.

        @inproceedings{:10.2312/EGWR/EGWR99/095-106
,
booktitle = {Eurographics Workshop on Rendering
},
editor = {Dani Lischinski and Greg Ward Larson
},
title = {{Information Theory Tools for Scene Discretization
}},
author = {Feixas, Miquel and 
Acebo, Esteve del and 
Bekaert, Philippe and 
Sbert, Mateu
},
year = {1999
},
publisher = {The Eurographics Association
},
ISSN = {1727-3463
},
ISBN = {3-211-83382-X
},
DOI = {/10.2312/EGWR/EGWR99/095-106
}
}