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Chromaticity limits in color constancy calculations

机译:色度恒定计算中的色度限制

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There are two very different kinds of color constancy. One kind studies the ability of humans to be insensitive to the spectral composition of scene illumination. The second studies computer vision techniques for calculating the surface reflectances of objects in variable illumination. Camera-measured chromaticity has been used as a tool in computer vision scene analysis. This paper measures the ColorChecker test target in uniform illumination to verify the accuracy of scene capture. We identify the limitations of sRGB camera standards, the dynamic range limits of RAW scene captures, and the presence of camera veiling glare in areas darker than middle gray. Measurements of scene radiances and chromaticities with spot meters are much more accurate than camera capture due to scene-dependent veiling glare. Camera capture data must be verified by calibration.
机译:有两种非常不同的色彩恒定。一种研究人类对场景照明的光谱组成不敏感的能力。第二研究计算机视觉技术,用于计算可变照明中物体的表面反射。相机测量的色度已被用作计算机视觉场景分析中的工具。本文测量均匀照明中的ColorChecker测试目标,以验证场景捕获的准确性。我们确定SRGB相机标准的局限性,原始场景捕获的动态范围限制,以及比中灰色较暗的区域的相机遮蔽眩光。由于场景依赖性遮光眩光,具有比相机捕获更准确的场景辐射和色度的测量。必须通过校准验证相机捕获数据。

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