article

Principles of Appearance Acquisition and Representation

Authors:

Jason Lawrence,

Hendrik P. A. Lensch,

Szymon Rusinkiewicz,

Todd ZicklerAuthors Info & Claims

Foundations and Trends® in Computer Graphics and Vision, Volume 4, Issue 2

Pages 75 - 191

https://doi.org/10.1561/0600000022

Published: 01 February 2009 Publication History

Abstract

Algorithms for scene understanding and realistic image synthesis require accurate models of the way real-world materials scatter light. This study describes recent work in the graphics community to measure the spatially-and directionally-varying reflectance and subsurface scattering of complex materials, and to develop efficient representations and analysis tools for these datasets. We describe the design of acquisition devices and capture strategies for reflectance functions such as BRDFs and BSSRDFs, efficient factored representations, and a case study of capturing the appearance of human faces.

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cover image Foundations and Trends® in Computer Graphics and Vision

Foundations and Trends® in Computer Graphics and Vision Volume 4, Issue 2

February 2009

119 pages

ISSN:1572-2740

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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
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
Baron JPatterson EDupuy J(2023)Toward Efficient Capture of Spatially Varying Material PropertiesACM SIGGRAPH 2023 Posters10.1145/3588028.3603677(1-2)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1145/3588028.3603677
da Silva Nunes MMelo Nascimento FFlorêncio Miranda Jr. GTrinchão Andrade B(2022)Techniques for BRDF evaluationThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-020-02035-938:2(573-589)Online publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1007/s00371-020-02035-9
Lattas ALin YKannan JOzturk EFilipi LGuarnera GChawla GGhosh A(2022)Practical and Scalable Desktop-Based High-Quality Facial CaptureComputer Vision – ECCV 202210.1007/978-3-031-20068-7_30(522-537)Online publication date: 23-Oct-2022
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Krumpen SKlein RWeinmann M(2021)Towards Tangible Cultural Heritage Experiences—Enriching VR-based Object Inspection with Haptic FeedbackJournal on Computing and Cultural Heritage 10.1145/347047015:1(1-17)Online publication date: 14-Dec-2021
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Kang KXie CHe CYi MGu MChen ZZhou KWu H(2019)Learning efficient illumination multiplexing for joint capture of reflectance and shapeACM Transactions on Graphics10.1145/3355089.335649238:6(1-12)Online publication date: 8-Nov-2019
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Xu ZBi SSunkavalli KHadap SSu HRamamoorthi R(2019)Deep view synthesis from sparse photometric imagesACM Transactions on Graphics10.1145/3306346.332300738:4(1-13)Online publication date: 12-Jul-2019
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Havran VHosek JNemcova SCap JKlein RRushmeier H(2018)On the advancement of BTF measurement on siteProceedings of the Eurographics 2018 Workshop on Material Appearance Modeling10.2312/mam.20181191(5-9)Online publication date: 1-Jul-2018
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