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A High-Resolution Imaging System for Omnidirectional Illuminant Estimation

机译：用于全向光源估计的高分辨率成像系统

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Illuminant estimation in natural scenes includes the problem of estimating a spatial distribution of light sources by omnidirectional observations. So far most omnidirectional measuring systems used a mirrored ball as an optical tool. This kind of system, however, has several essential problems, such as low and nonuniform spatial resolution and a dead region due to imaging the camera itself, as reflected by the mirror. The present article realizes multiband spectral imaging with high spatial resolution for omnidirectional estimation of scene illuminant in a simple measuring system. To overcome the mirrored ball problems, we propose a multiband omnidirectional imaging system using a high-resolution trichromatic digital camera, a fisheye lens, and two commercial color filters. The spatial resolution of omnidirectional imaging systems is analyzed based on an optics model in detail. We describe a practical spectral imaging system. Use of the RGB camera with each of the two color filters allows two different sets of trichromatic spectral sensitivity functions via spectral multiplication, resulting in six spectral bands, after image capture with each color filter. An algorithm is developed based on statistical estimation theory for estimating illuminant spectra from noisy observations of the sensor outputs. The feasibility of the proposed method is examined from the viewpoints of spatial resolution and omnidirectional illuminant estimation.
机译：自然场景中的光源估计包括通过全向观测估计光源的空间分布的问题。迄今为止，大多数全向测量系统都使用镜球作为光学工具。然而，这种系统具有几个基本问​​题，例如低和不均匀的空间分辨率，以及由于镜本身对相机的成像而产生的死区，如镜子所反射。本文在一个简单的测量系统中实现了高空间分辨率的多波段光谱成像，用于场景光源的全向估计。为了克服镜像球的问题，我们提出了一种使用高分辨率三色数码相机，鱼眼镜头和两个商用滤色镜的多波段全向成像系统。基于光学模型详细分析了全向成像系统的空间分辨率。我们描述了一种实用的光谱成像系统。将RGB相机与两个滤色镜中的每一个配合使用，可以通过光谱相乘获得两组不同的三色光谱灵敏度功能，从而在每个滤色镜捕获图像后产生六个光谱带。基于统计估计理论开发了一种算法，用于根据传感器输出的嘈杂观测来估计光源光谱。从空间分辨率和全向光源估计的角度研究了该方法的可行性。

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