• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

高光谱环境光照图:表征自然环境中的方向光谱变化

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

作者信息

Morimoto Takuma, Kishigami Sho, Linhares João M M, Nascimento Sérgio M C, Smithson Hannah E

出版信息

Opt Express. 2019 Oct 28;27(22):32277-32293. doi: 10.1364/OE.27.032277.

DOI:10.1364/OE.27.032277
PMID:31684444
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7028397/
Abstract

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.

摘要

放置在现实世界场景中的物体从各个方向接收入射光,并且这种光的光谱成分可能因方向而异。在计算机图形学中,环境光照是通过将光照指定为入射角函数的地图来近似的。然而,到目前为止,现有的环境光照公共数据库仅指定了三个颜色通道(RGB)。我们使用具有33个光谱通道的高光谱成像系统捕获了一组新的12张环境光照地图(八个室外场景;四个室内场景)。数据揭示了自然环境中光照光谱分布的显著方向变化。我们讨论了使用日光模型来描述自然环境光照的局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/3511530e9878/EMS85786-f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/d63a6a6c1cce/EMS85786-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/792b2f578aa6/EMS85786-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/d26c6610faa0/EMS85786-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/ec5bce5cf16e/EMS85786-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/aab1cc94214f/EMS85786-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/d4faf3cef12f/EMS85786-f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/3511530e9878/EMS85786-f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/d63a6a6c1cce/EMS85786-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/792b2f578aa6/EMS85786-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/d26c6610faa0/EMS85786-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/ec5bce5cf16e/EMS85786-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/aab1cc94214f/EMS85786-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/d4faf3cef12f/EMS85786-f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/172d/7028397/3511530e9878/EMS85786-f007.jpg

相似文献

1
Hyperspectral environmental illumination maps: characterizing directional spectral variation in natural environments.高光谱环境光照图:表征自然环境中的方向光谱变化
Opt Express. 2019 Oct 28;27(22):32277-32293. doi: 10.1364/OE.27.032277.
2
Hyperspectral characterization of natural lighting environments.自然光环境的高光谱特征描述。
Prog Brain Res. 2022;273(1):37-48. doi: 10.1016/bs.pbr.2022.04.008.
3
Spatial distributions of local illumination color in natural scenes.自然场景中局部光照颜色的空间分布。
Vision Res. 2016 Mar;120:39-44. doi: 10.1016/j.visres.2015.07.005. Epub 2015 Sep 26.
4
How many surfaces can you distinguish by color? Real environmental lighting increases discriminability of surface colors.你能通过颜色区分多少种表面?真实的环境光会提高表面颜色的可辨别性。
Opt Express. 2024 Sep 23;32(20):34246. doi: 10.1364/OE.531468. Epub 2024 Sep 9.
5
Statistical characterization of real-world illumination.现实世界光照的统计特征描述。
J Vis. 2004 Sep 28;4(9):821-37. doi: 10.1167/4.9.11.
6
Psychophysical estimates of the number of spectral-reflectance basis functions needed to reproduce natural scenes.再现自然场景所需光谱反射基函数数量的心理物理学估计。
J Opt Soc Am A Opt Image Sci Vis. 2005 Jun;22(6):1017-22. doi: 10.1364/josaa.22.001017.
7
Skin chromophore mapping by smartphone RGB camera under spectral band and spectral line illumination.智能手机在光谱带和谱线照明下的皮肤色素映射。
J Biomed Opt. 2022 Feb;27(2). doi: 10.1117/1.JBO.27.2.026004.
8
Illumination discrimination in real and simulated scenes.真实场景和模拟场景中的光照辨别
J Vis. 2016 Sep 1;16(11):2. doi: 10.1167/16.11.2.
9
Automatic Spatially Varying Illumination Recovery of Indoor Scenes Based on a Single RGB-D Image.基于单幅RGB-D图像的室内场景自动空间变化光照恢复
IEEE Trans Vis Comput Graph. 2020 Apr;26(4):1672-1685. doi: 10.1109/TVCG.2018.2876541. Epub 2018 Oct 26.
10
Time-lapse ratios of cone excitations in natural scenes.自然场景中视锥细胞兴奋的延时比率。
Vision Res. 2016 Mar;120:45-60. doi: 10.1016/j.visres.2015.03.012. Epub 2015 Apr 3.

引用本文的文献

1
A hyperspectral open-source imager (HOSI).一种高光谱开源成像仪(HOSI)。
BMC Biol. 2025 Jan 7;23(1):5. doi: 10.1186/s12915-024-02110-w.
2
Nocturnal camouflage through background matching against moonlight.通过与月光背景匹配实现夜间伪装。
Proc Natl Acad Sci U S A. 2025 Jan 7;122(1):e2406808121. doi: 10.1073/pnas.2406808121. Epub 2024 Dec 16.
3
How many surfaces can you distinguish by color? Real environmental lighting increases discriminability of surface colors.你能通过颜色区分多少种表面?真实的环境光会提高表面颜色的可辨别性。

本文引用的文献

1
Hyperspectral imaging in color vision research: tutorial.色觉研究中的高光谱成像:教程
J Opt Soc Am A Opt Image Sci Vis. 2019 Apr 1;36(4):606-627. doi: 10.1364/JOSAA.36.000606.
2
Deep spectral reflectance and illuminant estimation from self-interreflections.基于自反射的深度光谱反射率和光源估计
J Opt Soc Am A Opt Image Sci Vis. 2019 Jan 1;36(1):105-114. doi: 10.1364/JOSAA.36.000105.
3
Discrimination of spectral reflectance under environmental illumination.环境光照下光谱反射率的辨别
Opt Express. 2024 Sep 23;32(20):34246. doi: 10.1364/OE.531468. Epub 2024 Sep 9.
4
Misidentifying illuminant changes in natural scenes due to failures in relational colour constancy.由于关系色恒常性的失败,导致对自然场景中的光源变化产生误判。
Proc Biol Sci. 2023 Nov 29;290(2011):20231676. doi: 10.1098/rspb.2023.1676.
5
Spectral Super-Resolution for High Dynamic Range Images.用于高动态范围图像的光谱超分辨率
J Imaging. 2023 Apr 14;9(4):83. doi: 10.3390/jimaging9040083.
6
Hyperspectral characterization of natural lighting environments.自然光环境的高光谱特征描述。
Prog Brain Res. 2022;273(1):37-48. doi: 10.1016/bs.pbr.2022.04.008.
7
Spectral measurement of daylights and surface properties of natural objects in Japan.日本日光的光谱测量和自然物体表面特性。
Opt Express. 2022 Jan 31;30(3):3183. doi: 10.1364/OE.441063. Epub 2022 Jan 18.
8
Luminosity thresholds of colored surfaces are determined by their upper-limit luminances empirically internalized in the visual system.彩色表面的亮度阈值是由视觉系统内在化的上限亮度经验确定的。
J Vis. 2021 Dec 1;21(13):3. doi: 10.1167/jov.21.13.3.
9
Human color constancy based on the geometry of color distributions.基于颜色分布几何形状的人类颜色恒常性。
J Vis. 2021 Mar 1;21(3):7. doi: 10.1167/jov.21.3.7.
10
Fluctuating environmental light limits number of surfaces visually recognizable by colour.环境光的波动限制了通过颜色视觉识别的表面数量。
Sci Rep. 2021 Jan 22;11(1):2102. doi: 10.1038/s41598-020-80591-9.
J Opt Soc Am A Opt Image Sci Vis. 2018 Apr 1;35(4):B244-B255. doi: 10.1364/JOSAA.35.00B244.
4
Variation of outdoor illumination as a function of solar elevation and light pollution.作为太阳高度和光污染函数的室外光照变化。
Sci Rep. 2016 Jun 7;6:26756. doi: 10.1038/srep26756.
5
Simple and effective calculations about spectral power distributions of outdoor light sources for computer vision.用于计算机视觉的室外光源光谱功率分布的简单有效计算。
Opt Express. 2016 Apr 4;24(7):7266-86. doi: 10.1364/OE.24.007266.
6
Spatial distributions of local illumination color in natural scenes.自然场景中局部光照颜色的空间分布。
Vision Res. 2016 Mar;120:39-44. doi: 10.1016/j.visres.2015.07.005. Epub 2015 Sep 26.
7
Human vision is attuned to the diffuseness of natural light.人类视觉适应了自然光的漫射特性。
J Vis. 2014 Aug 19;14(9):15. doi: 10.1167/14.9.15.
8
Review of measures for light-source color rendition and considerations for a two-measure system for characterizing color rendition.光源显色性测量方法综述以及用于表征显色性的双测量系统的考量因素。
Opt Express. 2013 Apr 22;21(8):10393-411. doi: 10.1364/OE.21.010393.
9
Context-dependent judgments of color that might allow color constancy in scenes with multiple regions of illumination.颜色的上下文相关判断可能允许在具有多个光照区域的场景中实现颜色恒常性。
J Opt Soc Am A Opt Image Sci Vis. 2012 Feb 1;29(2):A247-57. doi: 10.1364/JOSAA.29.00A247.
10
Variability in constancy of the perceived surface reflectance across different illumination statistics.在不同光照统计条件下,感知表面反射率恒常性的变异性。
Vision Res. 2012 Jan 15;53(1):30-9. doi: 10.1016/j.visres.2011.11.010. Epub 2011 Nov 25.