图像数据集用于对建筑中的色彩应用进行视觉和非视觉分析
Carolina Espinoza-Sanhueza1, Marc Hébert2, Jean-François Lalonde3
1GRAP Groupe de recherche en ambiances physiques, School of Architecture, Université Laval, Quebec, QC, Canada.
Data in brief
|August 16, 2024
概括
这项研究提出了一个新的数据集,用于分析建筑环境中照明和颜色的视觉和非视觉影响. 这些数据可以对不同照明策略的光生物反应进行详细分析.
科学领域:
- 建筑科学 建筑科学
- 摄影生物学 摄影生物学
- 计算机视觉 计算机视觉
背景情况:
- 了解光和颜色的光生物效应对于设计健康和功能性的室内空间至关重要.
- 现有的数据集可能无法完全捕捉彩色表面和各种照明条件之间的复杂相互作用.
- 准确的分析需要高质量的成像数据和先进的处理技术.
研究的目的:
- 介绍和描述一个全面的数据集,用于分析照明和色彩策略的视觉和非视觉影响.
- 为建筑,室内设计和建筑工程领域的研究人员和专业人士提供资源.
- 促进开发照明和色彩策略,以优化用户的幸福感.
主要方法:
- 从1:50尺寸的模型中获取大约4430张图像,使用鱼眼相机和Raspberry Pi.
- 在三种照明条件下进行实验:人工天空,直接日光和可调节的电灯.
- 处理低动态范围图像以生成高动态范围图像进行详细分析.
主要成果:
- 数据集包括 443 个文件,包含详细的图像数据.
- 生成的高动态范围图像允许创建假色图.
- 分析包括光学发光度,黑色发光度,相关色温 (CCT),M/P比,以及亮度分布.
结论:
- 该数据集是研究照明和颜色的光生物效应的宝贵资源.
- 它可以根据视觉和非视觉用户需求整合照明和颜色策略.
- 这些数据支持设计更加以人为中心的建筑环境.
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