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dc.contributor.authorSundaramoorthi, Ganeshen_US
dc.contributor.authorYezzi, Anthonyen_US
dc.contributor.authorMennucci, Andrea C.en_US
dc.date.accessioned2013-09-06T20:35:30Z
dc.date.available2013-09-06T20:35:30Z
dc.date.issued2008-05
dc.identifier.citationG. Sundaramoorthi, A. Yezzi, and A. Mennucci, "Coarse-to-Fine Segmentation and Tracking Using Sobolev Active Contours", IEEE Transactions on Pattern Analysis and Machine Intelligence, 30 (5), 851-864 (May 2008)en_US
dc.identifier.issn0162-8828
dc.identifier.urihttp://hdl.handle.net/1853/48829
dc.description©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or distribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.descriptionDOI: 10.1109/TPAMI.2007.70751en_US
dc.description.abstractRecently proposed Sobolev active contours introduced a new paradigm for minimizing energies defined on curves by changing the traditional cost of perturbing a curve and thereby redefining gradients associated to these energies. Sobolev active contours evolve more globally and are less attracted to certain intermediate local minima than traditional active contours, and it is based on a wellstructured Riemannian metric, which is important for shape analysis and shape priors. In this paper, we analyze Sobolev active contours using scale-space analysis in order to understand their evolution across different scales. This analysis shows an extremely important and useful behavior of Sobolev contours, namely, that they move successively from coarse to increasingly finer scale motions in a continuous manner. This property illustrates that one justification for using the Sobolev technique is for applications where coarse-scale deformations are preferred over fine-scale deformations. Along with other properties to be discussed, the coarse-to-fine observation reveals that Sobolev active contours are, in particular, ideally suited for tracking algorithms that use active contours. We will also justify our assertion that the Sobolev metric should be used over the traditional metric for active contours in tracking problems by experimentally showinghow a variety of active-contour-based tracking methods can be significantly improved merely by evolving the active contour according to the Sobolev method.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectActive contoursen_US
dc.subjectTrackingen_US
dc.subjectCoarse-to-fine evolutionsen_US
dc.subjectSobolev gradientsen_US
dc.titleCoarse-to-Fine Segmentation and Tracking Using Sobolev Active Contoursen_US
dc.typeArticleen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineeringen_US
dc.contributor.corporatenameScuola normale superiore (Italy)en_US
dc.publisher.originalInstitute of Electrical and Electronics Engineersen_US
dc.identifier.doi10.1109/TPAMI.2007.70751


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