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An algoritmh for the estimation of 3D surfaces using competitive learning

dc.contributor.authorNascimento, Jose
dc.contributor.authorMarques, Jorge Salvador
dc.date.accessioned2016-05-27T11:00:11Z
dc.date.available2016-05-27T11:00:11Z
dc.date.issued2000-09
dc.description.abstractThis paper addresses the estimation of object boundaries from a set of 3D points. An extension of the constrained clustering algorithm developed by Abrantes and Marques in the context of edge linking is presented. The object surface is approximated using rectangular meshes and simplex nets. Centroid-based forces are used for attracting the model nodes towards the data, using competitive learning methods. It is shown that competitive learning improves the model performance in the presence of concavities and allows to discriminate close surfaces. The proposed model is evaluated using synthetic data and medical images (MRI and ultrasound images).pt_PT
dc.identifier.citationNASCIMENTO, José M. P. ; MARQUES, Jorge Salvador - An algoritmh for the estimation of 3D surfaces using competitive learning. Proceedings of the V Ibero-American Symposium on Pattern Recognition - SIARP. Vol. I. pp. 139-146, 2000pt_PT
dc.identifier.isbn972-97711-2-X
dc.identifier.urihttp://hdl.handle.net/10400.21/6210
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subject3D surfacespt_PT
dc.subjectAlgoritmhpt_PT
dc.subjectCompetitive learningpt_PT
dc.titleAn algoritmh for the estimation of 3D surfaces using competitive learningpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLisbon, Portugalpt_PT
oaire.citation.endPage146pt_PT
oaire.citation.startPage139pt_PT
oaire.citation.titleProceedings of the V Ibero-American Symposium on Pattern Recognition - SIARPpt_PT
oaire.citation.volumeIpt_PT
person.familyNameNascimento
person.givenNameJose
person.identifier.ciencia-id6912-6F61-1964
person.identifier.orcid0000-0002-5291-6147
person.identifier.ridE-6212-2015
person.identifier.scopus-author-id55920018000
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationc7ffc6c0-1bdc-4f47-962a-a90dfb03073c
relation.isAuthorOfPublication.latestForDiscoveryc7ffc6c0-1bdc-4f47-962a-a90dfb03073c

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