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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierThales Research and Technology [Palaiseau]
dc.contributor.authorLE BRIGANT, Alice
dc.date2019
dc.date.accessioned2024-04-04T03:06:54Z
dc.date.available2024-04-04T03:06:54Z
dc.date.issued2019
dc.identifier.issn0924-9907
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193381
dc.description.abstractEnThe aim of this paper is to find an optimal matching between manifold-valued curves, and thereby adequately compare their shapes, seen as equivalent classes with respect to the action of reparameterization. Using a canonical decomposition of a path in a principal bundle, we introduce a simple algorithm that finds an optimal matching between two curves by computing the geodesic of the infinite-dimensional manifold of curves that is at all time horizontal to the fibers of the shape bundle. We focus on the elastic metric studied in the so-called square root velocity framework. The quotient structure of the shape bundle is examined, and in particular horizontality with respect to the fibers. These results are more generally given for any elastic metric. We then introduce a comprehensive discrete framework which correctly approximates the smooth setting when the base manifold has constant sectional curvature. It is itself a Riemannian structure on the product manifold of "discrete curves" given by a finite number of points, and we show its convergence to the continuous model as the size of the discretization goes to infinity. Illustrations of optimal matching between discrete curves are given in the hyperbolic plane, the plane and the sphere, for synthetic and real data, and comparison with dynamic programming is established.
dc.language.isoen
dc.publisherSpringer Verlag
dc.title.enA discrete framework to find the optimal matching between manifold-valued curves
dc.typeArticle de revue
dc.subject.halMathématiques [math]/Géométrie différentielle [math.DG]
dc.identifier.arxiv1703.05107
bordeaux.journalJournal of Mathematical Imaging and Vision
bordeaux.page40–70
bordeaux.volume61
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01490695
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01490695v1
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