Galar Idoate, MikelJurío Munárriz, AránzazuLópez Molina, CarlosSanz Delgado, José AntonioPaternain Dallo, DanielBustince Sola, Humberto2016-07-272016-07-2720131094-4087 (Print)1094-4087 (Electronic)10.1364/OE.21.001247https://academica-e.unavarra.es/handle/2454/21074In this paper we present a comparison study between different aggregation functions for the combination of RGB color channels in stereo matching problem. We introduce 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 and aggregation functions. We show experimentally that the best function depends on the stereo matching algorithm considered, but the dual of the geometric mean excels as the most robust aggregation.application/pdfeng© 2012 Optical Society of America. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited.Image processingMachine visionVision, color and visual opticsArtículo / ArtikuluaAcceso abierto / Sarbide irekiainfo:eu-repo/semantics/openAccess