article

Image-based reconstruction of spatial appearance and geometric detail

Authors:

Hendrik P. A. Lensch,

Michael Goesele,

Wolfgang Heidrich,

Hans-Peter SeidelAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 22, Issue 2

Pages 234 - 257

https://doi.org/10.1145/636886.636891

Published: 01 April 2003 Publication History

Abstract

Real-world objects are usually composed of a number of different materials that often show subtle changes even within a single material. Photorealistic rendering of such objects requires accurate measurements of the reflection properties of each material, as well as the spatially varying effects. We present an image-based measuring method that robustly detects the different materials of real objects and fits an average bidirectional reflectance distribution function (BRDF) to each of them. In order to model local changes as well, we project the measured data for each surface point into a basis formed by the recovered BRDFs leading to a truly spatially varying BRDF representation. Real-world objects often also have fine geometric detail that is not represented in an acquired mesh. To increase the detail, we derive normal maps even for non-Lambertian surfaces using our measured BRDFs. A high quality model of a real object can be generated with relatively little input data. The generated model allows for rendering under arbitrary viewing and lighting conditions and realistically reproduces the appearance of the original object.

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Cited By

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
Luo XScandolo LBousseau AEisemann E(2024)Single‐Image SVBRDF Estimation with Learned Gradient DescentComputer Graphics Forum10.1111/cgf.1501843:2Online publication date: 23-Apr-2024
https://doi.org/10.1111/cgf.15018
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: 1-Jul-2024
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Index Terms

Image-based reconstruction of spatial appearance and geometric detail
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
  2. Computer graphics
    1. Image manipulation
      1. Texturing

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 22, Issue 2

April 2003

128 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/636886

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Copyright © 2003 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2003

Published in TOG Volume 22, Issue 2

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Cited By

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
Luo XScandolo LBousseau AEisemann E(2024)Single‐Image SVBRDF Estimation with Learned Gradient DescentComputer Graphics Forum10.1111/cgf.1501843:2Online publication date: 23-Apr-2024
https://doi.org/10.1111/cgf.15018
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: 1-Jul-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3261872
Tetzlaff M(2024)High-Fidelity Specular SVBRDF Acquisition From Flash PhotographsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.323527730:4(1885-1896)Online publication date: 1-Apr-2024
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Wang SAntić BGeiger ATang S(2024)IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00184(1877-1888)Online publication date: 16-Jun-2024
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Cheng TMa WGuan KTorralba AWang SOh ANaumann TGloberson ASaenko KHardt MLevine S(2023)Structure from duplicatesProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3666874(17195-17207)Online publication date: 10-Dec-2023
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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
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