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Rational BRDF

hal.structure.identifierLaboratoire Photonique, Numérique et Nanosciences [LP2N]
hal.structure.identifierMelting the frontiers between Light, Shape and Matter [MANAO]
dc.contributor.authorPACANOWSKI, Romain
hal.structure.identifierDepartment of Mathematics & Computer Science [Antwerp]
dc.contributor.authorSALAZAR-CELIS, Oliver
hal.structure.identifierMelting the frontiers between Light, Shape and Matter [MANAO]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorSCHLICK, Christophe
hal.structure.identifierMelting the frontiers between Light, Shape and Matter [MANAO]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierLaboratoire Photonique, Numérique et Nanosciences [LP2N]
dc.contributor.authorGRANIER, Xavier
hal.structure.identifierDépartement d'Informatique et de Recherche Opérationnelle [Montreal] [DIRO]
dc.contributor.authorPOULIN, Pierre
hal.structure.identifierDepartment of Mathematics & Computer Science [Antwerp]
dc.contributor.authorANNIE, Cuyt
dc.date.accessioned2023-05-12T10:26:54Z
dc.date.available2023-05-12T10:26:54Z
dc.date.created2011
dc.date.issued2012-03-06
dc.identifier.issn1077-2626
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/181286
dc.description.abstractEnOver the last two decades, much effort has been devoted to accurately measure Bidirectional Reflectance Distribution Functions (BRDFs) of real-world materials and to use efficiently the resulting data for rendering. Because of their large size, it is difficult to use directly measured BRDFs for real-time applications, and fitting the most sophisticated analytical BRDF models is still a complex task. In this paper, we introduce Rational BRDF, a general-purpose and efficient representation for arbitrary BRDFs, based on Rational Functions (RFs). Using an adapted parametrization we demonstrate how Rational BRDFs offer (1) a more compact and efficient representation using low-degree RFs, (2) an accurate fitting of measured materials with guaranteed control of the residual error, and (3) an efficient importance sampling by applying the same fitting process to determine the inverse of the Cumulative Distribution Function (CDF) generated from the BRDF for use in Monte-Carlo rendering.
dc.description.sponsorshipAnalyse des opérateurs de transport lumineux et applications - ANR-11-BS02-0006
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.title.enRational BRDF
dc.typeArticle de revue
dc.identifier.doi10.1109/TVCG.2012.73
dc.subject.halInformatique [cs]/Synthèse d'image et réalité virtuelle [cs.GR]
bordeaux.journalIEEE Transactions on Visualization and Computer Graphics
bordeaux.page1824-1835
bordeaux.volume18
bordeaux.hal.laboratoriesLaboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298*
bordeaux.issue11
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00678885
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00678885v1
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