Title
Rational BRDF Rational BRDF
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
article
Publication
Washington, D.C. ,
Subject
Computer. Automation
Source (journal)
IEEE transactions on visualization and computer graphics / Institute of Electrical and Electronics Engineers [New York, N.Y.] - Washington, D.C.
Volume/pages
18(2012) :11 , p. 1824-1835
ISSN
1077-2626
ISI
000308414100003
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Over the last two decades, much effort has been devoted to accurately measuring 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) 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.
E-info
https://repository.uantwerpen.be/docman/iruaauth/85605f/f0961261511.pdf
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