Abstract

Of the many classes of bidirectional reflectance distribution function (BRDF) models, two popular classes of models are the microfacet model and the linear systems diffraction model. The microfacet model has the benefit of speed and simplicity, as it uses geometric optics approximations, while linear systems theory uses a diffraction approach to compute the BRDF, at the expense of greater computational complexity. In this Letter, nongrazing BRDF measurements of rough and polished surface-reflecting materials at multiple incident angles are scaled by the microfacet cross section conversion term, but in the linear systems direction cosine space, resulting in great alignment of BRDF data at various incident angles in this space. This results in a predictive BRDF model for surface-reflecting materials at nongrazing angles, while avoiding some of the computational complexities in the linear systems diffraction model.

Comparison of microfacet BRDF model to modified Beckmann-Kirchhoff BRDF model for rough and smooth surfaces

Samuel D. Butler, Stephen E. Nauyoks, and Michael A. Marciniak
Opt. Express 23(22) 29100-29112 (2015)

Modified polarized geometrical attenuation model for bidirectional reflection distribution function based on random surface microfacet theory

Hong Liu, Jingping Zhu, and Kai Wang
Opt. Express 23(17) 22788-22799 (2015)

Directional statistics-based reflectance model for isotropic bidirectional reflectance distribution functions

Ko Nishino and Stephen Lombardi
J. Opt. Soc. Am. A 28(1) 8-18 (2011)

Bidirectional reflectance distribution function measurements and analysis of retroreflective materials

Laurent Belcour, Romain Pacanowski, Marion Delahaie, Aude Laville-Geay, and Laure Eupherte
J. Opt. Soc. Am. A 31(12) 2561-2572 (2014)

Investigation of the spectral reflectance and bidirectional reflectance distribution function of sea foam layer by the Monte Carlo method

L. X. Ma, F. Q. Wang, C. A. Wang, C. C. Wang, and J. Y. Tan
Appl. Opt. 54(33) 9863-9874 (2015)