Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45745
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dc.contributor.authorAlemán-Flores, Miguelen_US
dc.contributor.authorAlvarez, Luisen_US
dc.contributor.authorGomez, Luisen_US
dc.contributor.authorSantana-Cedrés, Danielen_US
dc.date.accessioned2018-11-22T12:16:17Z-
dc.date.available2018-11-22T12:16:17Z-
dc.date.issued2014en_US
dc.identifier.isbn978-3-319-12567-1en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10553/45745-
dc.description.abstractZhang’s method is a widely used technique for camera calibration from different views of a planar calibration pattern. This pattern contains a set of squares arranged in a certain configuration. In order to calibrate the camera, the corners of the squares in the images must be matched with those in the reference model. When the images show a strong lens distortion, the usual methods to compute the corner matching fail because the corners are shifted from their expected positions. We propose a new method which automatically estimates such corner matching taking into account the lens distortion. The method is based on an automatic algorithm for lens distortion correction which allows estimating the distorted lines passing through the edges of the squares. We present some experiments to illustrate the performance of the proposed method, as well as a comparison with the usual technique proposed in a Matlab toolbox.en_US
dc.languageengen_US
dc.publisherSpringeren_US
dc.relationModelización Matemática de Los Procesos de Calibración de Cámaras de Video.en_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2014. Lecture Notes in Computer Science, v. 8827 LNCS, p. 754-761en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject120601 Construcción de algoritmosen_US
dc.subject120602 Ecuaciones diferencialesen_US
dc.subject120326 Simulaciónen_US
dc.subject.otherCamera calibrationen_US
dc.subject.otherLens distortionen_US
dc.subject.otherZhang’s methoden_US
dc.titleAutomatic corner matching in highly distorted images of Zhang’s calibration patternen_US
dc.typeinfo:eu-repo/semantics/bookParten_US
dc.typeBook parten_US
dc.relation.conference19th Iberoamerican Congress on Pattern Recognition (CIARP 2014)-
dc.identifier.doi10.1007/978-3-319-12568-8_91en_US
dc.identifier.scopus84949118376-
dc.identifier.isi000346407400091-
dc.contributor.authorscopusid55892084700-
dc.contributor.authorscopusid55640159000-
dc.contributor.authorscopusid56789548300-
dc.contributor.authorscopusid54974008500-
dc.description.lastpage761en_US
dc.description.firstpage754en_US
dc.relation.volume8827 LNCSen_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Capítulo de libroen_US
dc.contributor.daisngid1833913-
dc.contributor.daisngid478566-
dc.contributor.daisngid746480-
dc.contributor.daisngid4021657-
dc.identifier.eisbn978-3-319-12568-8-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Aleman-Flores, M-
dc.contributor.wosstandardWOS:Alvarez, L-
dc.contributor.wosstandardWOS:Gomez, L-
dc.contributor.wosstandardWOS:Santana-Cedres, D-
dc.date.coverdateEnero 2014en_US
dc.identifier.supplement0302-9743-
dc.identifier.supplement0302-9743-
dc.identifier.conferenceidevents121558-
dc.identifier.conferenceidevents120887-
dc.identifier.ulpgcen_US
dc.identifier.ulpgcen_US
dc.identifier.ulpgcen_US
dc.identifier.ulpgcen_US
dc.description.sjr0,325-
dc.description.sjrqQ3-
dc.description.spiqQ1
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR IUCES: Centro de Tecnologías de la Imagen-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR Modelos Matemáticos-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Centro de Tecnologías de la Imagen-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.deptGIR IUCES: Centro de Tecnologías de la Imagen-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-9258-0086-
crisitem.author.orcid0000-0002-6953-9587-
crisitem.author.orcid0000-0003-0667-2302-
crisitem.author.orcid0000-0003-2032-5649-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgDepartamento de Informática y Sistemas-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameAlemán Flores, Miguel-
crisitem.author.fullNameÁlvarez León, Luis Miguel-
crisitem.author.fullNameGómez Déniz, Luis-
crisitem.author.fullNameSantana Cedrés, Daniel Elías-
crisitem.project.principalinvestigatorÁlvarez León, Luis Miguel-
crisitem.event.eventsstartdate01-11-2014-
crisitem.event.eventsenddate05-11-2014-
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