A validation of measured pBRDFs from physics-based renderings and Mueller imaging

Khalid Omer; Quinn Jarecki; Stefan Forschner; Meredith Kupinski

doi:10.1117/12.2676770

5 October 2023 A validation of measured pBRDFs from physics-based renderings and Mueller imaging

Khalid Omer, Quinn Jarecki, Stefan Forschner, Meredith Kupinski

Proceedings Volume PC12690, Polarization Science and Remote Sensing XI; PC1269001 (2023) https://doi.org/10.1117/12.2676770
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

A polarization-aware physics-based rendering (PBR) engine uses a Mueller matrix (MM)-valued polarized bidirectional reflectance distribution function (pBRDF) as a characterization of a given material's polarized light scattering behavior. To evaluate the ability of the pBRDF to predict polarized light scattering, this work creates a validation loop between pBRDF characterization, scene renderings, and MM imaging of scenes. A conventional method for pBRDF sampling is MM imaging of spherical objects so that many scattering geometries are simultaneously captured. This pBRDF serves as input to a polarization-aware PBR engine for rendering arbitrary object shapes and illumination geometries. In this work, spheres and the components of a Cornell box are 3D-printed to create a set of shapes made of the same material. Then a validation loop is created where the pBRDF from sphere MM measurements are used for polarimetric renderings which are compared to MM images of the Cornell box. The generalization of the pBRDF is tested using different shapes for measurement or polarimetric rendering. For example, multiple surface interactions inside the Cornell box will create polarimetric effects that are not observed by measuring spheres. The pBRDF's ability to generalize varying lighting geometries and adjacency effects will be tested.

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Khalid Omer, Quinn Jarecki, Stefan Forschner, and Meredith Kupinski "A validation of measured pBRDFs from physics-based renderings and Mueller imaging", Proc. SPIE PC12690, Polarization Science and Remote Sensing XI, PC1269001 (5 October 2023); https://doi.org/10.1117/12.2676770

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KEYWORDS

Light scattering

Optical spheres

Polarimetry

Light sources and illumination

Polarized light

Bidirectional reflectance transmission function

Mueller matrices

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