dc.creator | González Díaz, Rocío | es |
dc.creator | Jiménez Rodríguez, María José | es |
dc.creator | Medrano Garfia, Belén | es |
dc.date.accessioned | 2019-07-04T08:35:09Z | |
dc.date.available | 2019-07-04T08:35:09Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | González 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.isbn | 978-3-319-32359-6 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/87833 | |
dc.description.abstract | We 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.sponsorship | Junta de Andalucía FQM-369 | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad MTM2012-32706 | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad MTM2015-67072-P | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | DGCI 2016: 19th IAPR International Conference on Discrete Geometry for Computer Imagery (2016), p 268-281 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | 3D binary image | es |
dc.subject | Well-composedness | es |
dc.subject | 3D cubical complex | es |
dc.subject | 3D polyhedral complex | es |
dc.title | Encoding Specific 3D Polyhedral Complexes Using 3D Binary Images | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII) | es |
dc.relation.projectID | FQM-369 | es |
dc.relation.projectID | MTM2012-32706 | es |
dc.relation.projectID | MTM2015-67072-P | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-32360-2_21 | es |
dc.identifier.doi | 10.1007/978-3-319-32360-2_21 | es |
idus.format.extent | 14 | es |
dc.publication.initialPage | 268 | es |
dc.publication.endPage | 281 | es |
dc.eventtitle | DGCI 2016: 19th IAPR International Conference on Discrete Geometry for Computer Imagery | es |
dc.eventinstitution | Nantes, France | es |
dc.relation.publicationplace | Berlin | es |