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Seeing colors in real scenes

机译:在真实场景中看到色彩

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摘要

Color perception in real conditions is determined by the spectral and spatial properties of objects and illumination. These properties are best evaluated by spectral imaging, a technique that records the reflecting spectral profile for each point of the scene. Using this technique on a set of natural scenes it was found that the color gamut expressed in the CIELAB color space is much smaller than the theoretical limits defined for the object colors. Moreover, the colors more frequent are those around the white point and their frequency of occurrence can be well described by a power law. Spatial variations of the spectral composition of the illumination across natural scenes were also quantified by placing small reflecting spheres in different locations of the scenes. The extent of these variations across scenes was found to be large and of the same order of magnitude as the variations of daylight along the day. These findings show that colors in nature are considerable constrained and that constancy mechanisms must be efficient over a wide range of stimuli variations to compensate for large natural variations of illumination.
机译:实际条件下的色彩感知取决于物体和照明的光谱和空间特性。这些特性最好通过光谱成像来评估,光谱成像是一种记录场景每个点反射光谱轮廓的技术。通过在一组自然场景上使用此技术,发现CIELAB颜色空间中表示的色域远远小于为对象颜色定义的理论极限。此外,更频繁的颜色是白点附近的颜色,并且它们的出现频率可以通过幂定律很好地描述。通过在场景的不同位置放置小反射球,还可以量化整个自然场景中照明光谱成分的空间变化。发现跨场景的这些变化程度很大,并且与白天的日照变化幅度相同。这些发现表明,自然界中的颜色受到了很大的限制,并且恒定机制必须在各种刺激变化范围内都是有效的,以补偿光照的大自然变化。

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