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dc.contributor.authorFlores-Compañ, María-Jesús
dc.contributor.authorGual-Arnau, Ximo
dc.contributor.authorIbáñez Gual, Maria Victoria
dc.contributor.authorSimó, Amelia
dc.date.accessioned2016-12-15T10:10:29Z
dc.date.available2016-12-15T10:10:29Z
dc.date.issued2016-12
dc.identifier.citationFLORES, M. J., et al. Intrinsic sample mean in the space of planar shapes. Pattern Recognition, 2016, vol. 60, p. 164-176.ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/165052
dc.description.abstractIn this paper we consider the shape space as the set of smooth simple closed curves in R2R2 (parameterized curves), modulo translations, rotations and scale changes. An algorithm to obtain the intrinsic average of a sample data (set of planar shape realizations), from the identification of the shape space with an infinite dimensional Grassmannian is proposed using a gradient descent type algorithm. A simulation study is carried out to check the performance of the algorithm.ca_CA
dc.description.sponsorShipThis paper has been partially supported by the Spanish Ministry of Science and Innovation by the Project DPI2013- 47279-C2-1-R.ca_CA
dc.format.extent12 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfPattern Recognition, 2016, vol. 60ca_CA
dc.rightsCopyright © 2016 Elsevier B.V. or its licensors or contributors.ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectIntrinsic sample meanca_CA
dc.subjectParameterized closed curveca_CA
dc.subjectShape spaceca_CA
dc.subjectGradient descent algorithmca_CA
dc.titleIntrinsic sample mean in the space of planar shapesca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1016/j.patcog.2016.04.025
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttp://www.sciencedirect.com/science/article/pii/S0031320316301030ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersion


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