research-article

Reflectance scanning: estimating shading frame and BRDF with generalized linear light sources

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Xin TongAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 33, Issue 4

Article No.: 117, Pages 1 - 11

https://doi.org/10.1145/2601097.2601180

Published: 27 July 2014 Publication History

Abstract

We present a generalized linear light source solution to estimate both the local shading frame and anisotropic surface reflectance of a planar spatially varying material sample.

We generalize linear light source reflectometry by modulating the intensity along the linear light source, and show that a constant and two sinusoidal lighting patterns are sufficient for estimating the local shading frame and anisotropic surface reflectance. We propose a novel reconstruction algorithm based on the key observation that after factoring out the tangent rotation, the anisotropic surface reflectance lies in a low rank subspace. We exploit the differences in tangent rotation between surface points to infer the low rank subspace and fit each surface point's reflectance function in the projected low rank subspace to the observations. We propose two prototype acquisition devices for capturing surface reflectance that differ on whether the camera is fixed with respect to the linear light source or fixed with respect to the material sample.

We demonstrate convincing results obtained from reflectance scans of surfaces with different reflectance and shading frame variations.

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Cited By

Ma XYu YWu HZhou K(2024)Efficient Reflectance Capture With a Deep Gated Mixture-of-ExpertsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.326187230:7(4246-4256)Online publication date: Jul-2024
https://doi.org/10.1109/TVCG.2023.3261872
Zhang ZBrandt CJouve JWang YChen TPauly MPanetta J(2023)Computational Design of Flexible Planar MicrostructuresACM Transactions on Graphics10.1145/361839642:6(1-16)Online publication date: 5-Dec-2023
https://dl.acm.org/doi/10.1145/3618396
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
Show More Cited By

Index Terms

Reflectance scanning: estimating shading frame and BRDF with generalized linear light sources
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 33, Issue 4

July 2014

1366 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/2601097

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Copyright © 2014 ACM.

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Publication History

Published: 27 July 2014

Published in TOG Volume 33, Issue 4

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Cited By

Ma XYu YWu HZhou K(2024)Efficient Reflectance Capture With a Deep Gated Mixture-of-ExpertsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.326187230:7(4246-4256)Online publication date: Jul-2024
https://doi.org/10.1109/TVCG.2023.3261872
Zhang ZBrandt CJouve JWang YChen TPauly MPanetta J(2023)Computational Design of Flexible Planar MicrostructuresACM Transactions on Graphics10.1145/361839642:6(1-16)Online publication date: 5-Dec-2023
https://dl.acm.org/doi/10.1145/3618396
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
Wang LZhang LGao FZhang J(2023)DeepBasis: Hand-Held Single-Image SVBRDF Capture via Two-Level Basis Material ModelSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618239(1-11)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.1145/3610548.3618239
Zhang LGao FWang LYu MCheng JZhang J(2023)Deep SVBRDF Estimation from Single Image under Learned Planar LightingACM SIGGRAPH 2023 Conference Proceedings10.1145/3588432.3591559(1-11)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1145/3588432.3591559
Kang KGu MXie CYang XWu HZhou K(2023)Neural Reflectance Capture in the View-Illumination DomainIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311737029:2(1450-1462)Online publication date: 1-Feb-2023
https://doi.org/10.1109/TVCG.2021.3117370
Xu XLin YZhou HZeng CYu YZhou KWu H(2023)A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52729.2023.00028(206-215)Online publication date: Jun-2023
https://doi.org/10.1109/CVPR52729.2023.00028
Kim YLee K(2022)Data Driven SVBRDF Estimation Using Deep Embedded ClusteringElectronics10.3390/electronics1119323911:19(3239)Online publication date: 9-Oct-2022
https://doi.org/10.3390/electronics11193239
Hwang IJeon DMuñoz AGutierrez DTong XKim M(2022)Sparse ellipsometryACM Transactions on Graphics10.1145/3528223.353007541:4(1-14)Online publication date: 22-Jul-2022
https://dl.acm.org/doi/10.1145/3528223.3530075
Lu JLi CCao GHu S(2022)Simulating Fractures With Bonded Discrete Element MethodIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310673828:12(4810-4824)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1109/TVCG.2021.3106738
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