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dc.contributor.authorDibos, Françoise
dc.contributor.authorKoepfler, Georges
dc.contributor.authorMonasse, Pascal
HAL ID: 172809
ORCID: 0000-0001-9167-7882
dc.date.accessioned2011-07-28T08:42:33Z
dc.date.available2011-07-28T08:42:33Z
dc.date.issued2003
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/6839
dc.language.isoenen
dc.subjectProjective registrationen
dc.subjectSimilarity estimation by level setsen
dc.subjectImage registrationen
dc.subject.ddc519en
dc.titleImage Alignmenten
dc.typeChapitre d'ouvrage
dc.description.abstractenBesides stating the problem of image registration this chapter is built on the following parts : 1) Similarity estimation by level sets. We use the Fast Level Sets Transform (see the chapter on TV minimization) to extract reliable features from both images. To each feature we associate similarity invariants, then we consider pairs of features (F1, F2), where F1 is in image 1 and F2 in image 2, that can match modulo a similarity. We call these pairs correspondences. These correspondences vote for the four parameters of the global similarity. The set of four parameters that gets the maximum number of votes is the estimated similarity. 2) Projective registration. Thanks to a new model for projective deformation, the registration group, we are able, after elimination of the pure projective deformation (i.e. 2 parameters), to reduce the projective matching to a similarity matching.en
dc.identifier.citationpages271-295en
dc.relation.ispartoftitleGeometric Level Set Methods in Imaging, Vision, and Graphicsen
dc.relation.ispartofeditorParagios, Nikos
dc.relation.ispartofeditorOsher, Stanley
dc.relation.ispartofpublnameSpringeren
dc.relation.ispartofpublcityBerlinen
dc.relation.ispartofdate2003
dc.relation.ispartofpages513en
dc.relation.ispartofurlhttp://dx.doi.org/10.1007/b97541en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.ispartofisbn978-0-387-95488-2en
dc.identifier.doihttp://dx.doi.org/10.1007/0-387-21810-6_15


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