Spectral reflectance estimation from one RGB image using self-interreflections in a concave object

Deeb Rada; Muselet Damien; Hebert Mathieu; Tremeau Alain

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Spectral reflectance estimation from one RGB image using self-interreflections in a concave object

机译：在凹对象中使用自析出的一个RGB图像的光谱反射率估计

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摘要

Light interreflections occurring in a concave object generate a color gradient that is characteristic of the object's spectral reflectance. In this paper, we use this property in order to estimate the spectral reflectance of matte, uniformly colored, V-shaped surfaces from a single RGB image taken under directional lighting. First, simulations show that using one image of the concave object is equivalent to, and can even outperform, the state-of-the-art approaches based on three images taken under three lightings with different colors. Experiments on real images of folded papers were performed under unmeasured direct sunlight. The results show that our interreflection-based approach outperforms existing approaches, even when the latter are improved by a calibration step. The mathematical solution for the interreflection equation and the effect of surface parameters on the performance of the method are also discussed in this paper. (C) 2018 Optical Society of America

机译：在凹面对象中发生的光剥离反射产生具有物体光谱反射率的特征的颜色梯度。在本文中，我们使用该属性来估计哑光的光谱反射，均匀着色的V形表面，从方向照明下拍摄的单个RGB图像。首先，模拟表明，使用凹对象的一个图像相当于，并且可以基于在具有不同颜色的三个灯下拍摄的三个图像的最先进的方法。在未测量的直射阳光下进行折叠纸的真实图像实验。结果表明，即使通过校准步骤改善后者，我们的Intereflection的方法也优于现有的方法。本文还讨论了Intereflection方程的数学解决方案和表面参数对方法性能的影响。（c）2018年光学学会

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来源
《Applied optics》 |2018年第17期|共12页
作者
Deeb Rada; Muselet Damien; Hebert Mathieu; Tremeau Alain;
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Univ Lyon UJM St Etienne CNRS Inst Opt Grad Sch Lab Hubert Curien UMR 5516 F-42023 St Etienne France;

Univ Lyon UJM St Etienne CNRS Inst Opt Grad Sch Lab Hubert Curien UMR 5516 F-42023 St Etienne France;

Univ Lyon UJM St Etienne CNRS Inst Opt Grad Sch Lab Hubert Curien UMR 5516 F-42023 St Etienne France;

Univ Lyon UJM St Etienne CNRS Inst Opt Grad Sch Lab Hubert Curien UMR 5516 F-42023 St Etienne France;

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正文语种 eng
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Spectral reflectance estimation from one RGB image using self-interreflections in a concave object

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