dc.contributor.author | Juliá, Carme | |
dc.contributor.author | Moreno, Rodrigo | |
dc.contributor.author | Puig, Domenec | |
dc.contributor.author | García García, Miguel Ángel | |
dc.contributor.other | UAM. Departamento de Tecnología Electrónica y de las Comunicaciones | es_ES |
dc.date.accessioned | 2015-07-20T06:55:27Z | |
dc.date.available | 2015-07-20T06:55:27Z | |
dc.date.issued | 2011-01 | |
dc.identifier.citation | Computer Vision and Image Understanding 115.1 (2011): 91-104 | en_US |
dc.identifier.issn | 1077-3142 (print) | en_US |
dc.identifier.issn | 1090-235X (online) | en_US |
dc.identifier.uri | http://hdl.handle.net/10486/667433 | |
dc.description | This is the author’s version of a work that was accepted for publication in Computer Vision and Image Understanding. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computer Vision and Image Understanding, 115, 1 (2011): 91-104 DOI: 10.1016/j.cviu.2010.09.009 | en_US |
dc.description.abstract | This paper describes a new algorithm for segmenting 2D images by taking into account 3D shape information. The proposed approach consists of two stages. In the first stage, the 3D surface normals of the objects present in the scene are estimated through robust photometric stereo. Then, the image is segmented by grouping its pixels according to their estimated normals through graph-based clustering. One of the advantages of the proposed approach is that, although the segmentation is based on the 3D shape of the objects, the photometric stereo stage used to estimate the 3D normals only requires a set of 2D images. This paper provides an extensive validation of the proposed approach by comparing it with several image segmentation algorithms. Particularly, it is compared with both appearance-based image segmentation algorithms and shape-based ones. Experimental results confirm that the latter are more suitable when the objective is to segment the objects or surfaces present in the scene. Moreover, results show that the proposed approach yields the best image segmentation in most of the cases. | en_US |
dc.description.sponsorship | This work has partially been supported by the Spanish Government under
project DPI2007-66556-C03-03, by the Commissioner for Universities and
Research of the Department of Innovation, Universities and Companies of
the Catalonian Government and by the European Social Fund. | en_US |
dc.format.extent | 41 pág. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | Elsevier B. V. | en_US |
dc.relation.ispartof | Computer Vision and Image Understanding | en_US |
dc.rights | © 2011 Elsevier B.V. All rights reserved | en_US |
dc.subject.other | 3D surface normals | en_US |
dc.subject.other | Graph-based image segmentation | en_US |
dc.subject.other | Photometric stereo | en_US |
dc.title | Shape-based image segmentation through photometric stereo | en_US |
dc.type | article | en_US |
dc.subject.eciencia | Informática | es_ES |
dc.subject.eciencia | Telecomunicaciones | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.cviu.2010.09.009 | |
dc.identifier.doi | 10.1016/j.cviu.2010.09.009 | |
dc.identifier.publicationfirstpage | 91 | |
dc.identifier.publicationissue | 1 | |
dc.identifier.publicationlastpage | 104 | |
dc.identifier.publicationvolume | 115 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en |
dc.contributor.group | Tratamiento e Interpretación de Vídeo (ING EPS-006) | es_ES |
dc.rights.cc | Reconocimiento – NoComercial – SinObraDerivada | es_ES |
dc.rights.accessRights | openAccess | en |
dc.facultadUAM | Escuela Politécnica Superior | |