Extracting Microfacet-based BRDF Parameters from Arbitrary Materials with Power Iterations

We introduce a novel fitting procedure that takes as input an arbitrary material, possibly anisotropic, and automatically converts it to a microfacet BRDF. Our algorithm is based on the property that the distribution of microfacets may be retrieved by solving an eigenvector problem that is built sol...

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Vydáno v:Computer graphics forum Ročník 34; číslo 4; s. 21 - 30
Hlavní autoři: Dupuy, Jonathan, Heitz, Eric, Iehl, Jean-Claude, Poulin, Pierre, Ostromoukhov, Victor
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Blackwell Publishing Ltd 01.07.2015
Wiley
Témata:
Algorithms
and texture
Anisotropy
Backscattering
Categories and Subject Descriptors (according to ACM CCS)
Computer graphics
Computer Science
Eigenvectors
Graphics
I.3.3 [Computer Graphics]: Picture/Image Generation-Antialiasing
I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Color
I.3.7 [Computer Graphics]: Three‐Dimensional Graphics and Realism—Color, shading, shadowing, and texture
Iterative methods
Lighting
Mathematical models
Roughness
shading
shadowing
Studies
Surface layer
Texture
United States > US
ISSN:0167-7055, 1467-8659
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Popis
Shrnutí:We introduce a novel fitting procedure that takes as input an arbitrary material, possibly anisotropic, and automatically converts it to a microfacet BRDF. Our algorithm is based on the property that the distribution of microfacets may be retrieved by solving an eigenvector problem that is built solely from backscattering samples. We show that the eigenvector associated to the largest eigenvalue is always the only solution to this problem, and compute it using the power iteration method. This approach is straightforward to implement, much faster to compute, and considerably more robust than solutions based on nonlinear optimizations. In addition, we provide simple conversion procedures of our fits into both Beckmann and GGX roughness parameters, and discuss the advantages of microfacet slope space to make our fits editable. We apply our method to measured materials from two large databases that include anisotropic materials, and demonstrate the benefits of spatially varying roughness on texture mapped geometric models.
Bibliografie:ArticleID:CGF12675
istex:1361DCE2DD511B1210CD2F63D397288245F0E4D6
Supporting Information
ark:/67375/WNG-F7760PD1-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ObjectType-Article-1
ObjectType-Feature-2
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ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.12675