Principles and practice of information theory
Principles and practice of information theory
A rapid hierarchical radiosity algorithm
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Elements of information theory
Elements of information theory
Modeling global diffuse illumination for image synthesis
Modeling global diffuse illumination for image synthesis
Radiosity and realistic image synthesis
Radiosity and realistic image synthesis
Combining hierarchical radiosity and discontinuity meshing
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Adjoint equations and random walks for illumination computation
ACM Transactions on Graphics (TOG)
Principles of Digital Image Synthesis
Principles of Digital Image Synthesis
Radiosity and Global Illumination
Radiosity and Global Illumination
Scene complexity analysis using random curves
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
Information-theory-based oracles for hierarchical radiosity
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartIII
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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.