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Finding Images with Similar Lighting Conditions in Large Photo Collections

机译:在大型照片集中查找具有类似光照条件的图像

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When we look at images taken from outdoor scenes, much of the information perceived is due to the ligthing conditions. In these scenes, the solar beams interact with the atmosphere and create a global illumination that determines the way we perceive objets in the world. Lately, exploration of the sky like the main illuminance component has began to be explored in Computer Vision. Some of these studies could be classified like color-based algorithms while some others fall in the physics-based category. However most of them assume that the photometric and geometric camera parameters are constant, or at least, that they could be determined. This work presents a simple and effective method in order to find images with similar lighting conditions. This method is based on a Gaussian mixture model of sky pixels represented by a 3D histogram in the La~*b~* color space.
机译:当我们查看从室外场景拍摄的图像时,感知到的许多信息是由于打结条件造成的。在这些场景中,太阳光束与大气相互作用并产生全局照明,该照明确定了我们感知世界物体的方式。最近,在计算机视觉中已经开始探索像主要照度组成部分一样的天空探索。这些研究中的一些可以像基于颜色的算法一样分类,而其他一些则属于基于物理学的类别。但是,其中大多数假定光度和几何摄影机参数是恒定的,或者至少可以确定它们。这项工作提出了一种简单有效的方法来查找具有相似照明条件的图像。该方法基于La〜* b〜*颜色空间中由3D直方图表示的天空像素的高斯混合模型。

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