Dynamic radiosity on multi-resolution models

  • Authors:
  • Hui Xiao;Gary Tam;Frederick Li;Rynson W. H. Lau

  • Affiliations:
  • Department of Computer Science, City University of Hong Kong, Hong Kong;Department of Computer Science, University of Durham, United Kingdom;Department of Computer Science, University of Durham, United Kingdom;Department of Computer Science, University of Durham, United Kingdom

  • Venue:
  • ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
  • Year:
  • 2006

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Abstract

Most existing global illumination methods are computationally very expensive when handling dynamic scenes, in which more than one object is undergoing geometric transformation. Hence, they are not suitable for use in interactive environments. In this paper, we propose a novel approach to address this problem – dynamic radiosity based on multi-resolution models. It is based on update prioritization and radiosity redistribution to accelerate illuminate recomputation. Our method is developed to support rendering realistic scenes in dynamic virtual environments, where multiple dynamic objects may be moving around. It can handle occluded dynamic objects that are contributing to the scene illumination.