Paper
28 May 2018 Efficient methods of BSDF reconstruction from the micro-relief dataset for the lighting simulation tasks
Dmitry D. Zhdanov, Sergey Ershov, Igor S. Potemin, Vladimir Galaktionov, Nikolay N. Bogdanov
Author Affiliations +
Abstract
A physically accurate description of the optical properties of surfaces is the one of the most important requirements in optical simulation for both imaging and non-imaging optics. Uncertainty in the specification of the optical properties might influence the simulation image or the spatial distribution of radiation in optical system. One of the ways of describing the optical properties is using the Bidirectional Scattering Distribution Function (BSDF). As a rule, BSDF is measured by goniospectrophotometers, but sometimes it is not possible to perform such measurements. In some cases, the measurement should be done inside the material, but it is impossible to measure BSDF of the boundary there. One of the possible solutions is to measure the microrelief heights distribution by profile measurement machine or atomic force microscope and assign measured data for given model. But, not every optical design software solution has the ability to specify microrelief directly, while majority of them just have the ability to specify BSDF. In this article, authors show methods of BSDFs generation from measurements of the real microrelief in the form of spatial distribution of heights.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dmitry D. Zhdanov, Sergey Ershov, Igor S. Potemin, Vladimir Galaktionov, and Nikolay N. Bogdanov "Efficient methods of BSDF reconstruction from the micro-relief dataset for the lighting simulation tasks", Proc. SPIE 10693, Illumination Optics V, 1069310 (28 May 2018); https://doi.org/10.1117/12.2312637
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Cited by 2 patents.
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KEYWORDS
Scattering

Geometrical optics

Light scattering

Monte Carlo methods

Reflection

Systems modeling

Bidirectional reflectance transmission function

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