Experiments with a low-cost system for computer graphics material model acquisition

Holly Rushmeier; Yitzhak Lockerman; Luke Cartwright; David Pitera

doi:10.1117/12.2082895

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13 March 2015 Experiments with a low-cost system for computer graphics material model acquisition

Holly Rushmeier, Yitzhak Lockerman, Luke Cartwright, David Pitera

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Proceedings Volume 9398, Measuring, Modeling, and Reproducing Material Appearance 2015; 939806 (2015) https://doi.org/10.1117/12.2082895
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

We consider the design of an inexpensive system for acquiring material models for computer graphics rendering applications in animation, games and conceptual design. To be useful in these applications a system must be able to model a rich range of appearances in a computationally tractable form. The range of appearance of interest in computer graphics includes materials that have spatially varying properties, directionality, small-scale geometric structure, and subsurface scattering. To be computationally tractable, material models for graphics must be compact, editable, and efficient to numerically evaluate for ray tracing importance sampling. To construct appropriate models for a range of interesting materials, we take the approach of separating out directly and indirectly scattered light using high spatial frequency patterns introduced by Nayar et al. in 2006. To acquire the data at low cost, we use a set of Raspberry Pi computers and cameras clamped to miniature projectors. We explore techniques to separate out surface and subsurface indirect lighting. This separation would allow the fitting of simple, and so tractable, analytical models to features of the appearance model. The goal of the system is to provide models for physically accurate renderings that are visually equivalent to viewing the original physical materials.

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Holly Rushmeier, Yitzhak Lockerman, Luke Cartwright, and David Pitera "Experiments with a low-cost system for computer graphics material model acquisition", Proc. SPIE 9398, Measuring, Modeling, and Reproducing Material Appearance 2015, 939806 (13 March 2015); https://doi.org/10.1117/12.2082895

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