用光盘和算法低成本还原光照光谱，提升虚拟场景真实感。
Practical and Accurate Reconstruction of an Illuminant's Spectral Power Distribution for Inverse Rendering Pipelines
- 用光盘+机器学习替代昂贵光谱仪测光照光谱。
- 在模拟与实测中均实现高精度光谱重建，尤其适合虹彩材质渲染。
- 适合做虚拟现实、逆向渲染的开发者快速获取光照数据。
逆向渲染管线在虚拟现实场景中重建真实物体方面日益重要。除材质反照率外，光谱渲染与场景内光源的光谱功率分布（SPD）对生成逼真图像至关重要。本文提出一种简单、低成本的方法，用于捕获与重建均匀光源的光谱功率分布。无需昂贵光谱仪，仅需使用衍射光盘（CD-ROM）与机器学习方法即可实现准确估计。实验表明，该方法在模拟与少量真实场景中表现良好，定量与定性评估均验证了其可靠性，尤其在虹彩材料的光谱渲染中效果显著。
原文摘要 · Abstract (English)
Inverse rendering pipelines are gaining prominence in realizing photo-realistic reconstruction of real-world objects for emulating them in virtual reality scenes. Apart from material reflectances, spectral rendering and in-scene illuminants' spectral power distributions (SPDs) play important roles in producing photo-realistic images. We present a simple, low-cost technique to capture and reconstruct the SPD of uniform illuminants. Instead of requiring a costly spectrometer for such measurements, our method uses a diffractive compact disk (CD-ROM) and a machine learning approach for accurate estimation. We show our method to work well with spotlights under simulations and few real-world examples. Presented results clearly demonstrate the reliability of our approach through quantitative and qualitative evaluations, especially in spectral rendering of iridescent materials.
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