Aggregation functions to combine RGB color channels in stereo matching
Fecha
2013Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión aceptada / Onetsi den bertsioa
Impacto
|
10.1364/OE.21.001247
Resumen
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 aggregat ...
[++]
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. [--]
Materias
Image processing,
Machine vision,
Vision, color and visual optics
Editor
Optical Society of America
Publicado en
Optics Express 21(1) 1247-1257
Departamento
Universidad Pública de Navarra. Departamento de Automática y Computación /
Nafarroako Unibertsitate Publikoa. Automatika eta Konputazioa Saila
Versión del editor
Entidades Financiadoras
This paper has been partially supported by the National Science Foundation of Spain, Reference
TIN2010-15055, TIN2011-29520 and the Research Services of the Universidad Publica de
Navarra.