Aggregation of color information in stereo matching problem: A comparison study

Abstract

In this paper we present a comparison study between different aggregation functions used in stereo matching problem. We add color information from images to the stereo matching algorithm by aggregating the similarities of the RGB channels which are calculated independently. We compare the accuracy of different stereo matching algorithms when using different aggregation functions. We show experimentally that the best function to use depends on the stereo matching algorithm considered. © 2010 Springer-Verlag.