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dc.creatorGonzález Díaz, Rocíoes
dc.creatorJiménez Rodríguez, María Josées
dc.creatorMedrano Garfia, Belénes
dc.date.accessioned2019-07-04T08:35:09Z
dc.date.available2019-07-04T08:35:09Z
dc.date.issued2016
dc.identifier.citationGonzález Díaz, R., Jiménez Rodríguez, M.J. y Medrano Garfia, B. (2016). Encoding Specific 3D Polyhedral Complexes Using 3D Binary Images. En DGCI 2016: 19th IAPR International Conference on Discrete Geometry for Computer Imagery (268-281), Nantes, France: Springer.
dc.identifier.isbn978-3-319-32359-6es
dc.identifier.issn0302-9743es
dc.identifier.urihttps://hdl.handle.net/11441/87833
dc.description.abstractWe build upon the work developed in [4] in which we presented a method to “locally repair” the cubical complex Q(I) associated to a 3D binary image I, to obtain a “well-composed” polyhedral complex P(I), homotopy equivalent to Q(I). There, we developed a new codification system for P(I), called ExtendedCubeMap (ECM) representation, that encodes: (1) the (geometric) information of the cells of P(I) (i.e., which cells are presented and where), under the form of a 3D grayscale image gP ; (2) the boundary face relations between the cells of P(I), under the form of a set BP of structuring elements. In this paper, we simplify ECM representations, proving that geometric and topological information of cells can be encoded using just a 3D binary image, without the need of using colors or sets of structuring elements. We also outline a possible application in which well-composed polyhedral complexes can be useful.es
dc.description.sponsorshipJunta de Andalucía FQM-369es
dc.description.sponsorshipMinisterio de Economía y Competitividad MTM2012-32706es
dc.description.sponsorshipMinisterio de Economía y Competitividad MTM2015-67072-Pes
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofDGCI 2016: 19th IAPR International Conference on Discrete Geometry for Computer Imagery (2016), p 268-281
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject3D binary imagees
dc.subjectWell-composednesses
dc.subject3D cubical complexes
dc.subject3D polyhedral complexes
dc.titleEncoding Specific 3D Polyhedral Complexes Using 3D Binary Imageses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)es
dc.relation.projectIDFQM-369es
dc.relation.projectIDMTM2012-32706es
dc.relation.projectIDMTM2015-67072-Pes
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-319-32360-2_21es
dc.identifier.doi10.1007/978-3-319-32360-2_21es
idus.format.extent14es
dc.publication.initialPage268es
dc.publication.endPage281es
dc.eventtitleDGCI 2016: 19th IAPR International Conference on Discrete Geometry for Computer Imageryes
dc.eventinstitutionNantes, Francees
dc.relation.publicationplaceBerlines

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