Paper
13 March 2015 Multiplexed acquisition of bidirectional texture functions for materials
Dennis den Brok, Heinz C. Steinhausen, Matthias B. Hullin, Reinhard Klein
Author Affiliations +
Proceedings Volume 9398, Measuring, Modeling, and Reproducing Material Appearance 2015; 93980F (2015) https://doi.org/10.1117/12.2078396
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
The bidirectional texture function (BTF) has proven a valuable model for the representation of complex spatially varying material reflectance. Its image-based nature, however, makes material BTFs extremely cumbersome to acquire: in order to adequately sample high-frequency details, many thousands of images of a given material as seen and lit from different directions have to be obtained. Additionally, long exposure times are required to account for the wide dynamic range exhibited by the reflectance of many real-world materials.

We propose to significantly reduce the required exposure times by using illumination patterns instead of single light sources ("multiplexed illumination"). A BTF can then be produced by solving an appropriate linear system, exploiting the linearity of the superposition of light. Where necessary, we deal with signal-dependent noise by using a simple linear model derived from an existing database of material BTFs as a prior. We demonstrate the feasibility of our method for a number of real-world materials in a camera dome scenario.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dennis den Brok, Heinz C. Steinhausen, Matthias B. Hullin, and Reinhard Klein "Multiplexed acquisition of bidirectional texture functions for materials", Proc. SPIE 9398, Measuring, Modeling, and Reproducing Material Appearance 2015, 93980F (13 March 2015); https://doi.org/10.1117/12.2078396
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Cameras

Multiplexing

Light sources

Bidirectional reflectance transmission function

Data modeling

Databases

Denoising

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