Name
Abstract | ||
|---|---|---|
We investigate the expressiveness of the microfacet model for isotropic bidirectional reflectance distribution functions (BRDFs) measured from real materials by introducing a non-parametric factor model that represents the model’s functional structure but abandons restricted parametric formulations of its factors. We propose a new objective based on compressive weighting that controls rendering error in high-dynamic-range BRDF fits better than previous factorization approaches. We develop a simple numerical procedure to minimize this objective and handle dependencies that arise between microfacet factors. Our method faithfully captures a more comprehensive set of materials than previous state-of-the-art parametric approaches yet remains compact (3.2KB per BRDF). We experimentally validate the benefit of the microfacet model over a naïve orthogonal factorization and show that fidelity for diffuse materials is modestly improved by fitting an unrestricted shadowing/masking factor. We also compare against a recent data-driven factorization approach [Bilgili et al. 2011] and show that our microfacet-based representation improves rendering accuracy for most materials while reducing storage by more than 10 ×. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2907941 | ACM Trans. Graph. |
Keywords | Field | DocType |
BRDF compression and factorization,microfacet theory,non-parametric models,robust statistics | Bidirectional reflectance distribution function,Isotropy,Mathematical optimization,Weighting,Nonparametric statistics,Robust statistics,Parametric statistics,Factorization,Rendering (computer graphics),Mathematics | Journal |
Volume | Issue | ISSN |
35 | 5 | 0730-0301 |
Citations | PageRank | References |
14 | 0.56 | 27 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mahdi M. Bagher | 1 | 31 | 1.88 |
| John Snyder | 2 | 2579 | 172.17 |
| Derek Nowrouzezahrai | 3 | 801 | 54.49 |