2015
DOI: 10.1111/cgf.12675
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Extracting Microfacet‐based BRDF Parameters from Arbitrary Materials with Power Iterations

Abstract: 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 strai… Show more

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Cited by 31 publications
(15 citation statements)
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(30 reference statements)
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“…• We use the technique described in Löw et al [35] to fit the MERL materials, thus finding the optimal parameters for the ABC model to represent them; • We apply our remapping ABC → GGX to the find a suitable representation of the materials in the GGX parameters space. As a further comparison, we show the fitting of the MERL materials to the GGX model, obtained using the method by Dupuy et al [38]. To display our results, we take advantage of the perceptual validation of the optimised surface and light direction suggested by [39] (see Figure 12).…”
Section: Results -Isotropic Brdf Models (Higher Dimensional Remapping)mentioning
confidence: 99%
See 1 more Smart Citation
“…• We use the technique described in Löw et al [35] to fit the MERL materials, thus finding the optimal parameters for the ABC model to represent them; • We apply our remapping ABC → GGX to the find a suitable representation of the materials in the GGX parameters space. As a further comparison, we show the fitting of the MERL materials to the GGX model, obtained using the method by Dupuy et al [38]. To display our results, we take advantage of the perceptual validation of the optimised surface and light direction suggested by [39] (see Figure 12).…”
Section: Results -Isotropic Brdf Models (Higher Dimensional Remapping)mentioning
confidence: 99%
“…The third column reports the scene rendered using the GGX model, using the parameters derived from our remapping ABC → GGX. As a further comparison, the last column reports the scene rendered using the GGX model, with the parameters derived from the fitting described in Dupuy et al [38]. Please see the supplementary material for the complete list of materials in the MERL dataset.…”
Section: User Studiesmentioning
confidence: 99%
“…We plan to validate whether other published BRDF models (e.g. Holzschuch and Pacanowski [HP17], Dupuy et al [DHI*15] or Bagher et al [BSH12]) lead to better fitting results, especially of the wavelength dependency of the backscattering and the Fresnel reflection.…”
Section: Discussionmentioning
confidence: 99%
“…Ngan et al [164] compared the accuracy of several fitted parametric models using the MERL database as input data [147]. As the parametric models seldom fit the measures reflectance exactly, important considerations for the fitting procedure are the choice of suitable metrics [19,164], for example perceptually motivated metrics, and the choice of non-linear optimization techniques [56,229].…”
Section: Fitting Parametric Models To Datamentioning
confidence: 99%