title: Aggregation functions to combine RGB color channels in stereo matching.
abstract: In 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.
authors: Departamento de Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain. mikel.galar@unavarra.es
authors: Mikel
authors: M
authors: Galar
authors: Aranzazu
authors: A
authors: Jurio
authors: Carlos
authors: C
authors: Lopez-Molina
authors: Daniel
authors: D
authors: Paternain
authors: Jose
authors: J
authors: Sanz
authors: Humberto
authors: H
authors: Bustince