Mostra el registre d'ítem simple
Multiscale combinatorial grouping
dc.contributor.author | Arbelaez, Pablo Andres |
dc.contributor.author | Pont Tuset, Jordi |
dc.contributor.author | Barron, Jonathan |
dc.contributor.author | Marqués Acosta, Fernando |
dc.contributor.author | Malik, Jitendra |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2015-03-23T14:30:26Z |
dc.date.available | 2015-03-23T14:30:26Z |
dc.date.created | 2014 |
dc.date.issued | 2014 |
dc.identifier.citation | Arbelaez, P. [et al.]. Multiscale combinatorial grouping. A: IEEE Conference on Computer Vision and Pattern Recognition. "2014 IEEE Conference on Computer Vision and Pattern Recognition, 23-28 June 2014, Columbus, Ohio: proceedings". Columbus, Ohio: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 328-335. |
dc.identifier.isbn | 978-1-4799-5117-8 |
dc.identifier.uri | http://hdl.handle.net/2117/26949 |
dc.description.abstract | We propose a unified approach for bottom-up hierarchical image segmentation and object candidate generation for recognition, called Multiscale Combinatorial Grouping (MCG). For this purpose, we first develop a fast normalized cuts algorithm. We then propose a high-performance hierarchical segmenter that makes effective use of multiscale information. Finally, we propose a grouping strategy that combines our multiscale regions into highly-accurate object candidates by exploring efficiently their combinatorial space. We conduct extensive experiments on both the BSDS500 and on the PASCAL 2012 segmentation datasets, showing that MCG produces state-of-the-art contours, hierarchical regions and object candidates. |
dc.format.extent | 8 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
dc.subject.lcsh | Image processing |
dc.subject.other | Image Segmentation |
dc.subject.other | Object Candidates |
dc.title | Multiscale combinatorial grouping |
dc.type | Conference report |
dc.subject.lemac | Imatges -- Processament |
dc.contributor.group | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.identifier.doi | 10.1109/CVPR.2014.49 |
dc.rights.access | Open Access |
local.identifier.drac | 15373757 |
dc.description.version | Postprint (author’s final draft) |
local.citation.author | Arbelaez, P.; Pont, J.; Barron, J.; Marques, F.; Malik, J. |
local.citation.contributor | IEEE Conference on Computer Vision and Pattern Recognition |
local.citation.pubplace | Columbus, Ohio |
local.citation.publicationName | 2014 IEEE Conference on Computer Vision and Pattern Recognition, 23-28 June 2014, Columbus, Ohio: proceedings |
local.citation.startingPage | 328 |
local.citation.endingPage | 335 |