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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/72593
DC FieldValueLanguage
dc.contributor.authorDudek, Romanen_US
dc.contributor.authorCuenca, Carmeloen_US
dc.contributor.authorQuintana, Franciscaen_US
dc.date.accessioned2020-05-19T12:17:52Z-
dc.date.available2020-05-19T12:17:52Z-
dc.date.issued2007en_US
dc.identifier.isbn978-3-540-75866-2en_US
dc.identifier.issn0302-9743en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/72593-
dc.description.abstractIn this paper we examine the performance advantages of using a CPU to execute the space variant Gaussian filtering. Our results show that the straightforward convolution GPU implementation obtains up to 8 times better performance than the best recursive algorithm (the Deriche's filter) executed on a CPU, for useful maximum a values. GPUs have turned out a useful option to obtain high execution performance, specially due to the emergence of high level languages for graphics hardware.en_US
dc.languageengen_US
dc.relationReconstrucción 3D de Vasos Sangüíneos A Partir de Múltiples Vistas.en_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceMoreno Díaz R., Pichler F., Quesada Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2007. Lecture Notes in Computer Science, [ISSN 0302-9743], vol 4739, p. 984-991, (2007). Springer, Berlin, Heidelberg.en_US
dc.subject1203 Ciencia de los ordenadoresen_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject330410 Terminales, dispositivos gráficos y trazadoresen_US
dc.titleAccelerating space variant Gaussian filtering on graphics processing uniten_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference11th International Conference on Computer Aided Systems Theoryen_US
dc.identifier.doi10.1007/978-3-540-75867-9_123en_US
dc.identifier.scopus38449097405-
dc.identifier.isi000251543000123-
dc.contributor.authorscopusid23472518100-
dc.contributor.authorscopusid22733619500-
dc.contributor.authorscopusid7004920817-
dc.description.lastpage991en_US
dc.description.firstpage984en_US
dc.relation.volume4739en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid30544272-
dc.contributor.daisngid3756227-
dc.contributor.daisngid30500693-
dc.identifier.eisbn978-3-540-75867-9-
dc.utils.revisionSíen_US
dc.contributor.wosstandardWOS:Dudek, R-
dc.contributor.wosstandardWOS:Cuenca, C-
dc.contributor.wosstandardWOS:Quintana, F-
dc.date.coverdateDiciembre 2007en_US
dc.identifier.conferenceidevents121334-
dc.identifier.conferenceidevents120588-
dc.identifier.ulpgcSíes
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate12-02-2007-
crisitem.event.eventsenddate16-02-2007-
crisitem.author.deptGIR Modelos Matemáticos-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-6911-4351-
crisitem.author.orcid0000-0001-8951-5040-
crisitem.author.parentorgDepartamento de Informática y Sistemas-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameCuenca Hernández, Carmelo-
crisitem.author.fullNameQuintana Domínguez, Francisca Candelaria-
crisitem.project.principalinvestigatorEsclarín Monreal,Julio-
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