Implicit free-form-deformations for multi-frame segmentation and tracking

Karantzalos, K; Paragios, N

dc.contributor.author	Karantzalos, K	en
dc.contributor.author	Paragios, N	en
dc.date.accessioned	2014-03-01T02:43:22Z
dc.date.available	2014-03-01T02:43:22Z
dc.date.issued	2005	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31367
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Constraint theory	en
dc.subject.other	Deformation	en
dc.subject.other	Interpolation	en
dc.subject.other	Mathematical models	en
dc.subject.other	Motion estimation	en
dc.subject.other	Optical flows	en
dc.subject.other	Tracking (position)	en
dc.subject.other	Constant brightness constraint	en
dc.subject.other	Free Form Deformation	en
dc.subject.other	Multi-frame segmentation	en
dc.subject.other	Temporal domain	en
dc.subject.other	Thin-plate splines	en
dc.subject.other	Zero iso-surfaces	en
dc.subject.other	Image segmentation	en
dc.title	Implicit free-form-deformations for multi-frame segmentation and tracking	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11567646_23	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11567646_23	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	In this paper, we propose a novel technique to address motion estimation and tracking. Such technique represents the motion field using a regular grid of thin-plate splines, and the moving objects using an implicit function on the image plane that is a cubic interpolation of a ""level set function"" defined on this grid. Optical flow is determined through the deformation of the grid and consequently of the underlying image structures towards satisfying the constant brightness constraint. Tracking is performed in similar fashion through the consistent recovery in the temporal domain of the zero iso-surfaces of a level set that is the projection of the Free Form Deformation (FFD) implicit function according to the cubic spline formulation. Such an approach is a compromise between dense motion estimation and parametric motion models, introduces smoothness in an implicit fashion, is intrinsic, and can cope with important object deformations. Promising results demonstrate the potentials of our approach. © Springer-Verlag Berlin Heidelberg 2005.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/11567646_23	en
dc.identifier.isi	ISI:000233133600023	en
dc.identifier.volume	3752 LNCS	en
dc.identifier.spage	271	en
dc.identifier.epage	282	en