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dc.contributor.authorDibos, Françoise
dc.contributor.authorJonchery, Claire
dc.contributor.authorKoepfler, Georges
dc.date.accessioned2011-06-28T12:52:33Z
dc.date.available2011-06-28T12:52:33Z
dc.date.issued2008
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/6617
dc.language.isoenen
dc.subjectCamera motion estimationen
dc.subjectPlanar applicationen
dc.subjectOptical flow quadratic approximationen
dc.subjectParameter estimationen
dc.subject.ddc519en
dc.titleCamera motion estimation through planar deformation determinationen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenIn this paper, we propose a global method for estimating the motion of a camera which films a static scene. Our approach is direct, fast and robust, and deals with adjacent frames of a sequence. It is based on a quadratic approximation of the deformation between two images, in the case of a scene with constant depth in the camera coordinate system. This condition is very restrictive but we show that, provided translation and depth inverse variations are small enough, the error on optical flow involved by the approximation of depths by a constant is small. In this context, we propose a new model of camera motion which allows to separate the image deformation in a similarity and a “purely” projective application, due to change of optical axis direction. This model leads to a quadratic approximation of image deformation that we estimate with an M-estimator; we can immediately deduce camera motion parameters.en
dc.relation.isversionofjnlnameJournal of Mathematical Imaging and Vision
dc.relation.isversionofjnlvol32en
dc.relation.isversionofjnlissue1en
dc.relation.isversionofjnldate2008
dc.relation.isversionofjnlpages73-87en
dc.relation.isversionofdoihttp://dx.doi.org/10.1007/s10851-008-0086-1en
dc.identifier.urlsitehttp://hal.archives-ouvertes.fr/hal-00104903/fr/en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherSpringeren
dc.subject.ddclabelProbabilités et mathématiques appliquéesen


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