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Microfacet BSDFs Generated from NDFs and Explicit Microgeometry
- Source :
- ACM Transactions on Graphics, ACM Transactions on Graphics, Association for Computing Machinery, 2019, 38 (5), pp.1-15. ⟨10.1145/3338697⟩
- Publication Year :
- 2019
- Publisher :
- Association for Computing Machinery (ACM), 2019.
-
Abstract
- Microfacet distributions are considered nowadays as a reference for physically plausible BSDF representations. Many authors have focused on their physical and mathematical correctness, while introducing means to enlarge the range of possible appearances. This article is dedicated to Normal Distribution Functions (NDFs) and the influence of their shape on the rendered material aspect. We provide a complete framework for studying the impact of NDFs on the observed Bidirectional Scattering Distribution Functions (BSDFs). To explore very general NDFs, manually controlled by the user, and including anisotropic materials, we propose to use a piecewise continuous representation. It is derived with its associated Smith shadowing-masking function and importance sampling formulations for ensuring efficient global illumination computations. A new procedure is also proposed in this article for generating an explicit geometric micro-surface, used to evaluate the validity of analytic models and multiple scattering effects. The results are produced with a computer-generated process using path tracing. They show that this generation procedure is suitable with any NDF model, independently from its shape complexity.
- Subjects :
- Computer science
Scattering
Global illumination
[SCCO.COMP]Cognitive science/Computer science
020207 software engineering
02 engineering and technology
Function (mathematics)
01 natural sciences
Computer Graphics and Computer-Aided Design
010309 optics
Normal distribution
0103 physical sciences
Bidirectional scattering distribution function
Path tracing
0202 electrical engineering, electronic engineering, information engineering
Piecewise
Anisotropy
Representation (mathematics)
Algorithm
ComputingMilieux_MISCELLANEOUS
Importance sampling
ComputingMethodologies_COMPUTERGRAPHICS
Subjects
Details
- ISSN :
- 15577368 and 07300301
- Volume :
- 38
- Database :
- OpenAIRE
- Journal :
- ACM Transactions on Graphics
- Accession number :
- edsair.doi.dedup.....af8476ae2588d8796b14d8767153d2da
- Full Text :
- https://doi.org/10.1145/3338697