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dc.contributor.authorCelledoni, Elena
dc.contributor.authorEidnes, Sølve
dc.contributor.authorSchmeding, Alexander
dc.date.accessioned2019-01-22T10:13:15Z
dc.date.available2019-01-22T10:13:15Z
dc.date.created2017-10-04T22:15:51Z
dc.date.issued2017
dc.identifier.issn2331-8422
dc.identifier.urihttp://hdl.handle.net/11250/2581713
dc.description.abstractShape analysis is ubiquitous in problems of pattern and object recognition and has developed considerably in the last decade. The use of shapes is natural in applications where one wants to compare curves independently of their parametrisation. One computationally efficient approach to shape analysis is based on the Square Root Velocity Transform (SRVT). In this paper we propose a generalised SRVT framework for shapes on homogeneous manifolds. The method opens up for a variety of possibilities based on different choices of Lie group action and giving rise to different Riemannian metrics.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.relation.urihttps://arxiv.org/pdf/1704.01471.pdf
dc.titleShape analysis on homogeneous spaces: a generalised SRVT frameworknb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber187-220nb_NO
dc.source.journalThe Abel Symposiumnb_NO
dc.identifier.doi10.1007/978-3-030-01593-0_7
dc.identifier.cristin1502370
dc.relation.projectNorges forskningsråd: 231632nb_NO
dc.description.localcodeThis chapter will not be available due to copyright restrictions (c) 2018 by Springernb_NO
cristin.unitcode194,63,15,0
cristin.unitnameInstitutt for matematiske fag
cristin.ispublishedtrue
cristin.fulltextpostprint


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