Using Levels of Detail to Speedup Radiosity Computation

Reynald Dumont 1 Kadi Bouatouch 1
1 SIAMES - Computer generated images, animation, modeling and simulation
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes
Abstract : Clustering and partitioning based methods have improved drastically Hierarchic- al Radiosity (HR). The first method reduces the number of links but lacks precision since it does not account precisely for the orientations of the patches, within the emitting and receiving clusters, during the illuminati- on calculation. As for the second approach, it is efficient since it partition- s large environments into 3D cells and emploies ordering strategies that need only a subset of cells for computing illumination at each step of the resolution process. Nevertheless, the computation complexity still remains high when the cells contain many objects of highly detailed geometry. The new HR, described in this paper, brings solutions to these problems by making use of Levels Of Details (LOD) that approximate the geometry of the object surfaces in the scene.
Type de document :
Rapport
[Research Report] RR-3602, INRIA. 1999
Liste complète des métadonnées

https://hal.inria.fr/inria-00073077
Contributeur : Rapport de Recherche Inria <>
Soumis le : mercredi 24 mai 2006 - 11:47:50
Dernière modification le : jeudi 11 janvier 2018 - 06:20:10
Document(s) archivé(s) le : dimanche 4 avril 2010 - 21:15:56

Fichiers

Identifiants

  • HAL Id : inria-00073077, version 1

Collections

Citation

Reynald Dumont, Kadi Bouatouch. Using Levels of Detail to Speedup Radiosity Computation. [Research Report] RR-3602, INRIA. 1999. 〈inria-00073077〉

Partager

Métriques

Consultations de la notice

111

Téléchargements de fichiers

115