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dc.creatorGutiérrez, Antonio
dc.creatorMonaghan, David S.
dc.creatorJiménez Rodríguez, María José
dc.creatorO'Connor, Noel E.
dc.date.accessioned2015-11-16T11:54:04Z
dc.date.available2015-11-16T11:54:04Z
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/11441/30770
dc.description.abstractSpace or voxel carving is a non-invasive technique that is used to produce a 3D volume and can be used in particular for the reconstruction of a 3D human model from images captured from a set of cameras placed around the subject. In [1], the authors present a technique to quantitatively evaluate spatially carved volumetric representations of humans using a synthetic dataset of typical sports motion in a tennis court scenario, with regard to the number of cameras used. In this paper, we compute persistent homology over the sequence of chain complexes obtained from the 3D outcomes with increasing number of cameras. This allows us to analyze the topological evolution of the reconstruction process, something which as far as we are aware has not been investigated to datees
dc.formatapplication/pdfes
dc.language.isoenges
dc.relation.ispartofComputational Topology in Image Context, Lecture Notes in Computer Science, Vol. 7309 p.139-147es
dc.rightsAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectvoxel carvinges
dc.subjectvolume reconstructiones
dc.subjectpersistent homologyes
dc.subjectevaluationes
dc.titlePersistent Homology for 3D Reconstruction Evaluationes
dc.typeinfo:eu-repo/semantics/bookPartes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada Ies
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-642-30238-1_15es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/30770

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