Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/19186
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dc.contributor.authorBauer, M-
dc.contributor.authorBruveris, M-
dc.coverage.spatialToronto, Canada.-
dc.date.accessioned2019-09-27T09:42:13Z-
dc.date.available2011-09-16-
dc.date.available2019-09-27T09:42:13Z-
dc.date.issued2011-09-16-
dc.identifier.citationProceedings of the Third International Workshop on Mathematical Foundations of Computational Anatomy - Geometrical and Statistical Methods for Modelling Biological Shape Variability,, 2011, pp. 182 - 193en_US
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/19186-
dc.description.abstractWe present a new approach for matching regular surfaces in a Riemannian setting. We use a Sobolev type metric on deformation vector fields which form the tangent bundle to the space of surfaces. In this article we compare our approach with the diffeomorphic matching framework. In the latter approach a deformation is prescribed on the ambient space, which then drags along an embedded surface. In contrast our metric is defined directly on the deformation vector field and can therefore be called an inner metric. We also show how to discretize the corresponding geodesic equation and compute the gradient of the cost functional using finite elements.en_US
dc.description.sponsorshipRoyal Society of London Wolfson Award; The European Research Council Advanced Grant; The Imperial College London SIF Programme; The Austrian Science Funden_US
dc.format.extent182 - 193-
dc.language.isoenen_US
dc.sourceMathematical Foundations of Computational Anatomy (MCFA) 2011-
dc.sourceMathematical Foundations of Computational Anatomy (MCFA) 2011-
dc.subjectRegistrationen_US
dc.subjectSurface Matchingen_US
dc.subjectLDDMMen_US
dc.subjectComputational Anatomyen_US
dc.subjectGeodesic Shootingen_US
dc.subjectAdjoint Equationsen_US
dc.titleA New Riemannian Setting for Surface Registrationen_US
dc.typeConference Paperen_US
dc.relation.isPartOfProceedings of the Third International Workshop on Mathematical Foundations of Computational Anatomy - Geometrical and Statistical Methods for Modelling Biological Shape Variability,-
pubs.finish-date2011-09-22-
pubs.finish-date2011-09-22-
pubs.publication-statusPublished-
pubs.start-date2011-09-22-
pubs.start-date2011-09-22-
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