Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/30139
COMPARTIR / EXPORTAR:
SHARE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Abramov, Alexey | - |
dc.contributor.author | Kulvicius, Tomás | - |
dc.contributor.author | Wörgötter, Florentin | - |
dc.contributor.author | Dellen, Babette | - |
dc.date.accessioned | 2010-12-16T08:48:31Z | - |
dc.date.available | 2010-12-16T08:48:31Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | Facing the Multicore-Challenge: 131-142 (2010) | - |
dc.identifier.isbn | 978-3-642-16232-9 | - |
dc.identifier.uri | http://hdl.handle.net/10261/30139 | - |
dc.description | Trabajo presentado a la Conference for Young Scientists on Facing the Multicore Challenge celebrada en Alemania de 17 al 19 de marzo de 2010. | - |
dc.description.abstract | Efficient segmentation of color images is important for many applications in computer vision. Non-parametric solutions are required in situations where little or no prior knowledge about the data is available. In this paper, we present a novel parallel image segmentation algorithm which segments images in real-time in a non-parametric way. The algorithm finds the equilibrium states of a Potts model in the superparamagnetic phase of the system. Our method maps perfectly onto the Graphics Processing Unit (GPU) architecture and has been implemented using the framework NVIDIA Compute Unified Device Architecture (CUDA). For images of 256 × 320 pixels we obtained a frame rate of 30 Hz that demonstrates the applicability of the algorithm to video-processing tasks in real-time. | - |
dc.description.sponsorship | This work was supported by the project 'Perception, action & cognition through learning of object-action complexes.' (4915). The work has received support from the German Ministry for Education and Research (BMBF) via the Bernstein Center for Computational Neuroscience (BCCN) G ottingen and the EU Project PACO-PLUS. B.D. also acknowledges support from Spanish Ministry for Science and Innovation via a Ramon y Cajal fellowship. | - |
dc.language.iso | eng | - |
dc.publisher | Springer Nature | - |
dc.relation.ispartofseries | Lecture Notes in Computer Science 6310 | - |
dc.relation.isversionof | Postprint | - |
dc.rights | openAccess | - |
dc.subject | Pattern recognition | - |
dc.subject.lcsh | Pattern recognition systems | en |
dc.title | Real-time image segmentation on a GPU | - |
dc.type | comunicación de congreso | - |
dc.identifier.doi | 10.1007/978-3-642-16233-6_14 | - |
dc.description.peerreviewed | Peer Reviewed | - |
dc.relation.publisherversion | http://dx.doi.org/10.1007/978-3-642-16233-6_14 | - |
dc.type.coar | http://purl.org/coar/resource_type/c_5794 | es_ES |
item.languageiso639-1 | en | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.openairetype | comunicación de congreso | - |
Aparece en las colecciones: | (IRII) Libros y partes de libros |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
segmentation on a GPU.pdf | 1,06 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
Page view(s)
367
checked on 23-abr-2024
Download(s)
754
checked on 23-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.