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Illuminant Spectra-Based Source Separation Using Flash Photography

机译:使用闪光灯摄影的基于光谱的光源分离

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Real-world lighting often consists of multiple illuminants with different spectra. Separating and manipulating these illuminants in post-process is a challenging problem that requires either significant manual input or calibrated scene geometry and lighting. In this work, we leverage a flasho-flash image pair to analyze and edit scene illuminants based on their spectral differences. We derive a novel physics-based relationship between color variations in the observed flasho-flash intensities and the spectra and surface shading corresponding to individual scene illuminants. Our technique uses this constraint to automatically separate an image into constituent images lit by each illuminant. This separation can be used to support applications like white balancing, lighting editing, and RGB photometric stereo, where we demonstrate results that outperform state-of-the-art techniques on a wide range of images.
机译:现实世界的照明通常由具有不同光谱的多个光源组成。在后期处理中分离和操纵这些光源是一个具有挑战性的问题,需要大量的人工输入或经过校准的场景几何形状和照明。在这项工作中,我们利用一个闪光/不闪光图像对来基于场景光源的光谱差异来分析和编辑场景光源。我们在观察到的闪光/不闪光强度的颜色变化与对应于单个场景光源的光谱和表面阴影之间得出了一种基于物理学的新颖关系。我们的技术使用此约束条件将图像自动分离为每个光源照明的组成图像。这种分离可用于支持白平衡,照明编辑和RGB光度立体声等应用程序,在这些应用程序中,我们展示的结果在各种图像上的表现均优于最新技术。

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