Digital Reality Lab

 
[Practical SVBRDF Capture In The Frequency Domain]

Practical SVBRDF Capture In The Frequency Domain

Miika Aittala1,2,  Tim Weyrich3,  Jaakko Lehtinen1,2

1 Aalto University
2 NVIDIA
3 University College London

Abstract

Spatially-varying reflectance and small geometric variations play a vital role in the appearance of real-world surfaces. Consequently, robust, automatic capture of such models is highly desirable; however, current systems require either specialized hardware, long capture times, user intervention, or rely heavily on heuristics. We describe an acquisition setup that utilizes only portable commodity hardware (an LCD display, an SLR camera) and contains no moving parts. In particular, a laptop screen can be used for illumination. Our setup, aided by a carefully constructed image formation model, automatically produces realistic spatially-varying reflectance parameters over a wide range of materials from diffuse to almost mirror-like specular surfaces, while requiring relatively few photographs. We believe our system is the first to offer such generality, while requiring only standard office equipment and no user intervention or parameter tuning. Our results exhibit a good qualitative match to photographs taken under novel viewing and lighting conditions for a range of materials.

Citation Style:    Publication

Practical SVBRDF Capture In The Frequency Domain.
Miika Aittala, Tim Weyrich, Jaakko Lehtinen.
ACM Transactions on Graphics (Proc. SIGGRAPH), 32(4), 110:1–110:12, 2013.Miika Aittala, Tim Weyrich, and Jaakko Lehtinen. Practical SVBRDF capture in the frequency domain. ACM Trans. on Graphics (Proc. SIGGRAPH), 32(4):110:1–110:12, August 2013.Aittala, M., Weyrich, T., and Lehtinen, J.2013. Practical SVBRDF capture in the frequency domain. ACM Trans. on Graphics (Proc. SIGGRAPH) 32, 4 (Aug.), 110:1–110:12.M. Aittala, T. Weyrich, and J. Lehtinen, “Practical SVBRDF capture in the frequency domain,” ACM Trans. on Graphics (Proc. SIGGRAPH), vol. 32, no. 4, pp. 110:1–110:12, Aug. 2013.
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External Project Page (with source code)

Acknowledgments

Miika Aittala was supported by the HeCSE Graduate School and the MIDE program (project UI-ART) of Aalto University; Tim Weyrich was supported by the FP7 EU collaborative project BEAMING (248620). The authors thank Jan Achrenius for lending his Canon 5D MkII camera on a short notice, and Timo Aila, Samuli Laine and Tero Karras for immensely valuable support.


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