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Hyperspectral environmental illumination maps: characterizing directional spectral variation in natural environments

Objects placed in real-world scenes receive incident light from every direction, and the spectral content of this light may vary from one direction to another. In computer graphics, environmental illumination is approximated using maps that specify illumination at a point as a function of incident a...

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Autores principales: Morimoto, Takuma, Kishigami, Sho, Linhares, João M. M., Nascimento, Sérgio M. C., Smithson, Hannah E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028397/
https://www.ncbi.nlm.nih.gov/pubmed/31684444
http://dx.doi.org/10.1364/OE.27.032277
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author Morimoto, Takuma
Kishigami, Sho
Linhares, João M. M.
Nascimento, Sérgio M. C.
Smithson, Hannah E.
author_facet Morimoto, Takuma
Kishigami, Sho
Linhares, João M. M.
Nascimento, Sérgio M. C.
Smithson, Hannah E.
author_sort Morimoto, Takuma
collection PubMed
description Objects placed in real-world scenes receive incident light from every direction, and the spectral content of this light may vary from one direction to another. In computer graphics, environmental illumination is approximated using maps that specify illumination at a point as a function of incident angle. However, to-date, existing public databases of environmental illumination specify only three colour channels (RGB). We have captured a new set of 12 environmental illumination maps (eight outdoor scenes; four indoor scenes) using a hyperspectral imaging system with 33 spectral channels. The data reveal a striking directional variation of spectral distribution of lighting in natural environments. We discuss limitations of using daylight models to describe natural environmental illumination.
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spelling pubmed-70283972020-02-18 Hyperspectral environmental illumination maps: characterizing directional spectral variation in natural environments Morimoto, Takuma Kishigami, Sho Linhares, João M. M. Nascimento, Sérgio M. C. Smithson, Hannah E. Opt Express Article Objects placed in real-world scenes receive incident light from every direction, and the spectral content of this light may vary from one direction to another. In computer graphics, environmental illumination is approximated using maps that specify illumination at a point as a function of incident angle. However, to-date, existing public databases of environmental illumination specify only three colour channels (RGB). We have captured a new set of 12 environmental illumination maps (eight outdoor scenes; four indoor scenes) using a hyperspectral imaging system with 33 spectral channels. The data reveal a striking directional variation of spectral distribution of lighting in natural environments. We discuss limitations of using daylight models to describe natural environmental illumination. 2019-10-28 /pmc/articles/PMC7028397/ /pubmed/31684444 http://dx.doi.org/10.1364/OE.27.032277 Text en https://creativecommons.org/licenses/by/4.0/ Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) . Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.
spellingShingle Article
Morimoto, Takuma
Kishigami, Sho
Linhares, João M. M.
Nascimento, Sérgio M. C.
Smithson, Hannah E.
Hyperspectral environmental illumination maps: characterizing directional spectral variation in natural environments
title Hyperspectral environmental illumination maps: characterizing directional spectral variation in natural environments
title_full Hyperspectral environmental illumination maps: characterizing directional spectral variation in natural environments
title_fullStr Hyperspectral environmental illumination maps: characterizing directional spectral variation in natural environments
title_full_unstemmed Hyperspectral environmental illumination maps: characterizing directional spectral variation in natural environments
title_short Hyperspectral environmental illumination maps: characterizing directional spectral variation in natural environments
title_sort hyperspectral environmental illumination maps: characterizing directional spectral variation in natural environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028397/
https://www.ncbi.nlm.nih.gov/pubmed/31684444
http://dx.doi.org/10.1364/OE.27.032277
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