PACANOWSKI, Romain; SALAZAR-CELIS, Oliver; SCHLICK, Christophe; GRANIER, Xavier; POULIN, Pierre; ANNIE, Cuyt

doi:10.1109/TVCG.2012.73

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PACANOWSKI, Romain
Laboratoire Photonique, Numérique et Nanosciences [LP2N]
Melting the frontiers between Light, Shape and Matter [MANAO]

SALAZAR-CELIS, Oliver
Department of Mathematics & Computer Science [Antwerp]

SCHLICK, Christophe
Melting the frontiers between Light, Shape and Matter [MANAO]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

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Ce document a été publié dans

IEEE Transactions on Visualization and Computer Graphics. 2012-03-06, vol. 18, n° 11, p. 1824-1835

Institute of Electrical and Electronics Engineers

Résumé en anglais

Over 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.< Réduire