A new multi‐illuminant synthetic image test set called MIST is described and made publicly available. MIST is intended primarily for evaluating illumination estimation and color constancy methods, but additional data are provided to make it useful for other computer vision applications as well. MIST addresses the problem found in most existing real‐image datasets, which is that the groundtruth illumination is only measured at a very limited number of locations, despite the fact that illumination tends to vary significantly in almost all scenes. In contrast, MIST provides for each pixel: (a) the percent surface spectral reflectance, (b) the spectrum of the incident illumination, (c) the separate specular and diffuse components of the reflected light, and (d) the depth (ie, camera‐to‐surface distance). The dataset contains 900 stereo pairs, each of the 1800 images being a 30‐band multispectral image covering the visible spectrum from 400 to 695 nm at a 5 nm interval. Standard sRGB versions of the multispectral images are also provided. The images are synthesized by extending the Blender Cycles ray‐tracing renderer. The rendering is done in a way that ensures the images are not only photorealistic, but physically accurate as well.

中文翻译：

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多光源合成图像测试仪

描述并公开了一种新的称为MIST的多光源合成图像测试仪。MIST主要用于评估照明估计和颜色恒定性方法，但是还提供了其他数据，使其也可用于其他计算机视觉应用。MIST解决了大多数现有的真实图像数据集中发现的问题，即地面照明仅在非常有限的几个位置进行了测量，尽管事实是照明在几乎所有场景中都会发生很大变化。相反，MIST为每个像素提供：（a）表面光谱反射率百分比，（b）入射照明的光谱，（c）反射光的独立镜面和漫反射分量，以及（d）深度（即，相机到表面的距离）。数据集包含900个立体声对，1800幅图像中的每幅图像都是30波段多光谱图像，以5 nm的间隔覆盖从400到695 nm的可见光谱。还提供了多光谱图像的标准sRGB版本。通过扩展Blender Cycles光线跟踪渲染器来合成图像。渲染的方式可确保图像不仅照片逼真，而且物理上也准确。