A unified algorithm for BRDF matching.

Dr. Jacco Bikker, R Vanderfeesten

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)


This paper generalizes existing BRDF fitting algorithms presented in the literature that aims to find a mapping of the parameters of an arbitrary source material model to the parameters of a target material model. A material model in this context is a function that maps a list of parameters, such as roughness or specular color, to a BRDF. Our conversion function approximates the original model as close as possible under a chosen similarity metric, either in physical reflectivities or perceptually, and calculates the error with respect to this conversion. Our conversion function imposes no constraints other than that the dimensionality of the represented BRDFs match.

Original languageEnglish
Title of host publicationAdvances in Computer Graphics - 36th Computer Graphics International Conference, CGI 2019, Proceedings
EditorsM Gavrilova, J Chang, N Thalmann, E Hitzer, H Ishikawa
Place of PublicationCalgary
Number of pages7
ISBN (Electronic)9783030225148
ISBN (Print)9783030225131
Publication statusPublished - 2019
EventAdvances in Computer Graphics: 36th Computer Graphics International Conference, CGI 2019. - Calgary, Canada
Duration: 17 Jun 201920 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11542 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceAdvances in Computer Graphics: 36th Computer Graphics International Conference, CGI 2019.


  • BRDF
  • Fitting
  • Material model


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