Bayesian models for finding and grouping junctions
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http://hdl.handle.net/10045/23398
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor | Robótica y Visión Tridimensional (RoViT) | es |
dc.contributor | Laboratorio de Investigación en Visión Móvil (MVRLab) | es |
dc.contributor | Informática Industrial e Inteligencia Artificial | es |
dc.contributor.author | Cazorla, Miguel | - |
dc.contributor.author | Escolano, Francisco | - |
dc.contributor.author | Gallardo López, Domingo | - |
dc.contributor.author | Rizo, Ramón | - |
dc.contributor.other | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial | es |
dc.date.accessioned | 2012-07-13T15:56:00Z | - |
dc.date.available | 2012-07-13T15:56:00Z | - |
dc.date.issued | 1999 | - |
dc.identifier.citation | CAZORLA, M.A., et al. "Bayesian models for finding and grouping junctions". En: Energy Minimization Methods in Computer Vision and Pattern Recognition : Second International Workshop, EMMCVPR’99 York, UK, July 26–29, 1999 Proceedings / Edwin R. Hancock, Marcello Pelillo (Eds.). Berlin : Springer, 1999. (Lecture Notes in Computer Science; 1654). ISBN 3-540-66294-4, pp. 70-82 | es |
dc.identifier.isbn | 3-540-66294-4 | - |
dc.identifier.issn | 0302-9743 (Print) | - |
dc.identifier.issn | 1611-3349 (Online) | - |
dc.identifier.uri | http://hdl.handle.net/10045/23398 | - |
dc.description.abstract | In this paper, we propose two Bayesian methods for detecting and grouping junctions. Our junction detection method evolves from the Kona approach, and it is based on a competitive greedy procedure inspired in the region competition method. Then, junction grouping is accomplished by finding connecting paths between pairs of junctions. Path searching is performed by applying a Bayesian A* algorithm that has been recently proposed. Both methods are efficient and robust, and they are tested with synthetic and real images. | es |
dc.language | eng | es |
dc.publisher | Springer Berlin / Heidelberg | es |
dc.rights | The original publication is available at www.springerlink.com | es |
dc.subject | Bayesian methods | es |
dc.subject | Junction detection | es |
dc.subject | Junction grouping | es |
dc.subject.other | Ciencia de la Computación e Inteligencia Artificial | es |
dc.title | Bayesian models for finding and grouping junctions | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.peerreviewed | si | es |
dc.identifier.doi | 10.1007/3-540-48432-9_6 | - |
dc.relation.publisherversion | http://dx.doi.org/10.1007/3-540-48432-9_6 | es |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es |
Aparece en las colecciones: | INV - RoViT - Comunicaciones a Congresos, Conferencias, etc. INV - i3a - Comunicaciones a Congresos, Conferencias, etc. |
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1999_Cazorla_etal_emmcvpr.pdf | Versión revisada (acceso abierto) | 2,12 MB | Adobe PDF | Abrir Vista previa |
1999_Cazorla_etal_emmcvpr_final.pdf | Versión final (acceso restringido) | 905,3 kB | Adobe PDF | Abrir Solicitar una copia |
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