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An Inexpensive BRDF Model for Physically‐based Rendering
Abstract
A new BRDF model is presented which can be viewed as an kind of intermediary model between empirism and theory. Main results of physics are observed (energy conservation, reciprocity rule, microfacet theory) and numerous phenomena involved in light reflection are accounted for, in a physically plausible way (incoherent and coherent reflection, spectrum modifications, anisotropy, self‐shadowing, multiple surface and subsurface reflection, differences between homogeneous and heterogeneous materials). The model has been especially intended for computer graphics applications and therefore includes two main features: simplicity (a small number of intuitively understandable parameters controls the model) and efficiency (the formulation provides adequation to Monte‐Carlo rendering techniques and/or hardware implementations).
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Cited by
A Survey of Ocean Simulation and Rendering Techniques in Computer Graphics
Darles, E., Crespin, B., Ghazanfarpour, D., & Gonzato, J. C. (2011) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2010.01828.x · Cited by 49
Parametric Study of a Lunar Base Power Systems
Kaczmarzyk, M., & Musiał, M. (2021) · Energies · doi:10.3390/en14041141 · Cited by 43
“To account for the reduced light absorption at large incidence angles, the astrometric model was enhanced by incorporating Schlick’s approximation formula for the specular reflection coefficient [74]:”
Image-Based Lunar Terrain Relative Navigation Without a Map: Measurements
Christian, J. A., Hong, L., McKee, P., Christensen, R., & Crain, T. P. (2021) · Journal of Spacecraft and Rockets · doi:10.2514/1.a34875 · Cited by 31
Metadata
- Authors
- Schlick, C.
- Venue
- Computer Graphics Forum
- Publisher
- Wiley
- Published
- 1994-08
- Volume
- 13
- Issue
- 3
- Pages
- 233-246
- ISSN
- 0167-7055 (ISSN-L)
- 1467-8659
- OpenAlex
- W2040692352
- Cited by
- 447
- References
- 0
- FWCI
- 1.89
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.