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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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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. |
format | Online Article Text |
id | pubmed-7028397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
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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