research-article

On optimal, minimal BRDF sampling for reflectance acquisition

Authors:

Jannik Boll Nielsen,

Henrik Wann Jensen,

Ravi RamamoorthiAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 34, Issue 6

Article No.: 186, Pages 1 - 11

https://doi.org/10.1145/2816795.2818085

Published: 02 November 2015 Publication History

Abstract

The bidirectional reflectance distribution function (BRDF) is critical for rendering, and accurate material representation requires data-driven reflectance models. However, isotropic BRDFs are 3D functions, and measuring the reflectance of a flat sample can require a million incident and outgoing direction pairs, making the use of measured BRDFs impractical. In this paper, we address the problem of reconstructing a measured BRDF from a limited number of samples. We present a novel mapping of the BRDF space, allowing for extraction of descriptive principal components from measured databases, such as the MERL BRDF database. We optimize for the best sampling directions, and explicitly provide the optimal set of incident and outgoing directions in the Rusinkiewicz parameterization for n = {1, 2, 5, 10, 20} samples. Based on the principal components, we describe a method for accurately reconstructing BRDF data from these limited sets of samples. We validate our results on the MERL BRDF database, including favorable comparisons to previous sets of industry-standard sampling directions, as well as with BRDF measurements of new flat material samples acquired with a gantry system. As an extension, we also demonstrate how this method can be used to find optimal sampling directions when imaging a sphere of a homogeneous material; in this case, only two images are often adequate for high accuracy.

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Cited By

Hikichi MIwasaki K(2024)Separation of Reflection Components for Measured Spectral BRDFsProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670953(1-9)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3670947.3670953
Iwasaki KDobashi Y(2024)A Non-parametric Factor Representation and Editing for Measured Anisotropic Spectral BRDFsProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670951(1-10)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3670947.3670951
Kavoosighafi BHajisharif SMiandji EBaravdish GCao WUnger J(2024)Deep SVBRDF Acquisition and Modelling: A SurveyComputer Graphics Forum10.1111/cgf.1519943:6Online publication date: 16-Sep-2024
https://doi.org/10.1111/cgf.15199
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Index Terms

On optimal, minimal BRDF sampling for reflectance acquisition
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Texturing
    2. Rendering
      1. Reflectance modeling

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 34, Issue 6

November 2015

944 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/2816795

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Copyright © 2015 ACM.

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Publication History

Published: 02 November 2015

Published in TOG Volume 34, Issue 6

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Cited By

Hikichi MIwasaki K(2024)Separation of Reflection Components for Measured Spectral BRDFsProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670953(1-9)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3670947.3670953
Iwasaki KDobashi Y(2024)A Non-parametric Factor Representation and Editing for Measured Anisotropic Spectral BRDFsProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670951(1-10)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3670947.3670951
Kavoosighafi BHajisharif SMiandji EBaravdish GCao WUnger J(2024)Deep SVBRDF Acquisition and Modelling: A SurveyComputer Graphics Forum10.1111/cgf.1519943:6Online publication date: 16-Sep-2024
https://doi.org/10.1111/cgf.15199
Guerrero‐Viu JSubias JSerrano AStorrs KFleming RMasia BGutierrez D(2024)Predicting Perceived Gloss: Do Weak Labels Suffice?Computer Graphics Forum10.1111/cgf.1503743:2Online publication date: 27-Apr-2024
https://doi.org/10.1111/cgf.15037
Miandji ETongbuasirilai THajisharif SKavoosighafi BUnger J(2024)FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF AcquisitionIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.335520030:7(4390-4402)Online publication date: Jul-2024
https://doi.org/10.1109/TVCG.2024.3355200
RIVIERE JFunatomi TOkabe T(2024)Polarization Imaging in the Wild Beyond the Unpolarized World AssumptionComputational Imaging for Scene Understanding10.1002/9781394284436.ch11(269-298)Online publication date: 19-Apr-2024
https://doi.org/10.1002/9781394284436.ch11
Wang Guohui 王Lu Yanting 卢(2023)深度学习技术在光度立体三维重建中的应用Laser & Optoelectronics Progress10.3788/LOP23043160:8(0811011)Online publication date: 2023
https://doi.org/10.3788/LOP230431
Ma XXu XZhang LZhou KWu H(2023)OpenSVBRDF: A Database of Measured Spatially-Varying ReflectanceACM Transactions on Graphics10.1145/361835842:6(1-14)Online publication date: 5-Dec-2023
https://dl.acm.org/doi/10.1145/3618358
Pintus RAhsan MZorcolo ABettio FMarton FGobbetti E(2023)Exploiting Local Shape and Material Similarity for Effective SV-BRDF Reconstruction from Sparse Multi-Light Image CollectionsJournal on Computing and Cultural Heritage 10.1145/359342816:2(1-31)Online publication date: 20-Apr-2023
https://dl.acm.org/doi/10.1145/3593428
Royo DSultan TMuñoz AMasumnia-Bisheh KBrandt EGutierrez DVelten AMarco J(2023)Virtual Mirrors: Non-Line-of-Sight Imaging Beyond the Third BounceACM Transactions on Graphics10.1145/359242942:4(1-15)Online publication date: 26-Jul-2023
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