Aggregation functions to combine RGB color channels in stereo matching
| dc.contributor.author | Galar Idoate, Mikel | |
| dc.contributor.author | Jurío Munárriz, Aránzazu | |
| dc.contributor.author | López Molina, Carlos | |
| dc.contributor.author | Sanz Delgado, José Antonio | |
| dc.contributor.author | Paternain Dallo, Daniel | |
| dc.contributor.author | Bustince Sola, Humberto | |
| dc.contributor.department | Automática y Computación | es_ES |
| dc.contributor.department | Automatika eta Konputazioa | eu |
| dc.contributor.funder | Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa | es |
| dc.date.accessioned | 2016-07-27T15:41:54Z | |
| dc.date.available | 2016-07-27T15:41:54Z | |
| dc.date.issued | 2013 | |
| dc.description.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. | en |
| dc.description.sponsorship | 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. | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | 10.1364/OE.21.001247 | |
| dc.identifier.issn | 1094-4087 (Print) | |
| dc.identifier.issn | 1094-4087 (Electronic) | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/21074 | |
| dc.language.iso | eng | en |
| dc.publisher | Optical Society of America | en |
| dc.relation.ispartof | Optics Express 21(1) 1247-1257 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2010-15055/ES/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2011-29520/ES/ | |
| dc.relation.publisherversion | https://dx.doi.org/10.1364/OE.21.001247 | |
| dc.rights | © 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. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | Image processing | en |
| dc.subject | Machine vision | en |
| dc.subject | Vision, color and visual optics | en |
| dc.title | Aggregation functions to combine RGB color channels in stereo matching | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dspace.entity.type | Publication | |
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