Luminance, disparity, and range statistics in 3D natural scenes

Range maps have been actively studied in the last few years in the context of depth perception in natural scenes. With the availability of co-registered luminance information, we have the ability to examine and model the statistical relationships between luminance, range and disparity. In this study, we find that a onesided generalized gaussian distribution closely fits the prior of the range gradient. This finding sheds new light on statistical modeling of 2D and 3D image features in natural scenes.