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dc.contributor.authorFeixas, Miquelen_US
dc.contributor.authorAcebo, Esteve delen_US
dc.contributor.authorBekaert, Philippeen_US
dc.contributor.authorSbert, Mateuen_US
dc.contributor.editorDani Lischinski and Greg Ward Larsonen_US
dc.date.accessioned2014-01-27T13:43:49Z
dc.date.available2014-01-27T13:43:49Z
dc.date.issued1999en_US
dc.identifier.isbn3-211-83382-Xen_US
dc.identifier.issn1727-3463en_US
dc.identifier.urihttp://dx.doi.org/10.2312/EGWR/EGWR99/095-106en_US
dc.description.abstractFinding 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.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleInformation Theory Tools for Scene Discretizationen_US
dc.description.seriesinformationEurographics Workshop on Renderingen_US


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