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Efficient BRDF Sampling Using Projected Deviation Vector Parameterization
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-3239-8581
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7765-1747
Uluslararası Bilgisayar Enstitüsü, Ege Üniversitesi, Turkey.
2017 (English)In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 153-158Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a novel approach for efficient sampling of isotropic Bidirectional Reflectance Distribution Functions (BRDFs). Our approach builds upon a new parameterization, the Projected Deviation Vector parameterization, in which isotropic BRDFs can be described by two 1D functions. We show that BRDFs can be efficiently and accurately measured in this space using simple mechanical measurement setups. To demonstrate the utility of our approach, we perform a thorough numerical evaluation and show that the BRDFs reconstructed from measurements along the two 1D bases produce rendering results that are visually comparable to the reference BRDF measurements which are densely sampled over the 4D domain described by the standard hemispherical parameterization.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 153-158
Series
IEEE International Conference on Computer Vision Workshops, E-ISSN 2473-9936 ; 2017
National Category
Medical Laboratory and Measurements Technologies
Identifiers
URN: urn:nbn:se:liu:diva-145821DOI: 10.1109/ICCVW.2017.26ISI: 000425239600019ISBN: 9781538610343 (electronic)ISBN: 9781538610350 (print)OAI: oai:DiVA.org:liu-145821DiVA, id: diva2:1192166
Conference
16th IEEE International Conference on Computer Vision (ICCV), 22-29 October 2017, Venice, Italy
Note

Funding Agencies|Scientific and Technical Research Council of Turkey [115E203]; Scientific Research Projects Directorate of Ege University [2015/BIL/043]

Available from: 2018-03-21 Created: 2018-03-21 Last updated: 2019-06-27Bibliographically approved

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Tongbuasirilai, TanaboonUnger, Jonas

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