Analysis of hybrid directional volumetric scatter terms for enhanced microfacet BRDF modeling

Michael W. Bishop; Samuel D. Butler; Michael A. Marciniak

doi:10.1117/12.2568046

20 August 2020 Analysis of hybrid directional volumetric scatter terms for enhanced microfacet BRDF modeling

Michael W. Bishop, Samuel D. Butler, Michael A. Marciniak

Proceedings Volume 11485, Reflection, Scattering, and Diffraction from Surfaces VII; 114850I (2020) https://doi.org/10.1117/12.2568046
Event: SPIE Optical Engineering + Applications, 2020, Online Only

Abstract

Microfacet BRDF models based upon geometric optics and used in computer graphics and remote sensing commonly account for surface scatter and Lambertian volume scatter. These models agree well with forward scatter observations, but lack accuracy in backscatter observations. This work proposes directional volume scatter modeling for enhanced BRDF performance. Five directional volume models are incorporated into the modified Cook-Torrance model. A reduction in model error by as large as 53% overall, and 64% in backscatter modeling, is demonstrated. Using our novel semi-empirical model reduced error in 13/15 materials, and incorporating the Sandford-Robertson directional volumetric term reduced error in 14/15 materials.

Conference Presentation

Citation Download Citation

Michael W. Bishop, Samuel D. Butler, and Michael A. Marciniak "Analysis of hybrid directional volumetric scatter terms for enhanced microfacet BRDF modeling", Proc. SPIE 11485, Reflection, Scattering, and Diffraction from Surfaces VII, 114850I (20 August 2020); https://doi.org/10.1117/12.2568046

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available