Abstract
BRDF continues to be used as a fundamental tool for representing material appearance in computer graphics. In this paper we present a practical adaptive method for acquisition of anisotropic BRDF, based on sparse adaptive measurement of the complete four-dimensional BRDF space by means of one-dimensional slices, which form a sparse four-dimensional structure in the BRDF space, and can be measured by continuous movements of a light source and sensor. Such a sampling approach is advantageous especially for gonioreflectometer-based measurement devices where the mechanical travel of a light source and a sensor imposes a significant time constraint. In order to evaluate our method, we have performed adaptive measurements of three materials and we simulated adaptive measurements of thirteen others. This method has one quarter the reconstruction error of that resulting from regular non-adaptive BRDF measurements using the same number of measured samples. Our method is almost twice as good as a previous adaptive method, and it requires from two to five times fewer samples to achieve the same results as alternative approaches.
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This research was supported by Czech Science Foundation grant 17-02652S.
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Radomír Vávra received his M.Sc. degree from the Czech Technical University in Prague. He currently is a Ph.D. candidate at the Institute of Information Theory and Automation (UTIA) of the Czech Academy of Sciences. His research interests include accurate material appearance measurement techniques and material visualization methods in computer graphics.
Jiři Filip received his M.Sc. and Ph.D. degrees in cybernetics from the Czech Technical University in Prague. Since 2002 he has been a researcher at the Institute of Information Theory and Automation (UTIA) of the Czech Academy of Sciences. Between 2007 and 2009 he was a Marie-Curie research fellow at Heriot-Watt University, Edinburgh. He combines methods of image processing, computer graphics, and visual psychophysics. His current research is focused on precise measurement and modeling of material appearance.
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Vávra, R., Filip, J. Adaptive slices for acquisition of anisotropic BRDF. Comp. Visual Media 4, 55–69 (2018). https://doi.org/10.1007/s41095-017-0099-z
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DOI: https://doi.org/10.1007/s41095-017-0099-z