Suppr超能文献

森林中自然光源的特征描述以及利用数字视频数据重建光源光谱

Characterization of natural illuminants in forests and the use of digital video data to reconstruct illuminant spectra.

作者信息

Chiao C C, Osorio D, Vorobyev M, Cronin T W

机构信息

Department of Biological Sciences, University of Maryland, Baltimore County, Baltimore 21250, USA.

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2000 Oct;17(10):1713-21. doi: 10.1364/josaa.17.001713.

Abstract

We describe illumination spectra in forests and show that they can be accurately recovered from recorded digital video images. Natural illuminant spectra of 238 samples measured in temperate forests were characterized by principal-component analysis. The spectra can be accurately approximated by the mean and the first two principal components. Compared with illumination under open skies, the loci of forest illuminants are displaced toward the green region in the chromaticity plots, and unlike open sky illumination they cannot be characterized by correlated color temperature. We show that it is possible to recover illuminant spectra accurately from digital video images by a linear least-squares-fit estimation technique. The use of digital video data in spectral analysis provides a promising new approach to the studies of the spatial and temporal variation of illumination in natural scenes and the understanding of color vision in natural environments.

摘要

我们描述了森林中的光照光谱,并表明可以从记录的数字视频图像中准确恢复这些光谱。通过主成分分析对在温带森林中测量的238个样本的自然光源光谱进行了表征。这些光谱可以通过均值和前两个主成分进行精确近似。与开阔天空下的光照相比,森林光源的色度图中的轨迹向绿色区域偏移,并且与开阔天空光照不同,它们不能用相关色温来表征。我们表明,通过线性最小二乘拟合估计技术可以从数字视频图像中准确恢复光源光谱。在光谱分析中使用数字视频数据为研究自然场景中光照的时空变化以及理解自然环境中的色觉提供了一种有前途的新方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验