Title:
Variational Stereo Imaging of Oceanic Waves with Statistical Constraints

dc.contributor.author Gallego, Guillermo en_US
dc.contributor.author Yezzi, Anthony en_US
dc.contributor.author Fedele, Francesco en_US
dc.contributor.author Benetazzo, Alvise en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering en_US
dc.contributor.corporatename Universidad Politécnica de Madrid. Grupo de Tratamiento de Imagenes en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Civil and Environmental Engineering en_US
dc.contributor.corporatename Istituto di Scienze Marine - Venezia en_US
dc.date.accessioned 2013-08-14T20:32:14Z
dc.date.available 2013-08-14T20:32:14Z
dc.date.issued 2013-06
dc.description ©2013 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.description DOI: 10.1109/TIP.2013.2271118 en_US
dc.description.abstract An image processing observational technique for the stereoscopic reconstruction of the wave form of oceanic sea states is developed. The technique incorporates the enforcement of any given statistical wave law modeling the quasi Gaussianity of oceanic waves observed in nature. The problem is posed in a variational optimization framework, where the desired wave form is obtained as the minimizer of a cost functional that combines image observations, smoothness priors and a weak statistical constraint. The minimizer is obtained combining gradient descent and multigrid methods on the necessary optimality equations of the cost functional. Robust photometric error criteria and a spatial intensity compensation model are also developed to improve the performance of the presented image matching strategy. The weak statistical constraint is thoroughly evaluated in combination with other elements presented to reconstruct and enforce constraints on experimental stereo data. en_US
dc.identifier.citation G. Gallego, A. Yezzi, F. Fedele, A. Benetazzo, “Variational Stereo Imaging of Oceanic Waves with Statistical Constraints ” IEEE Transactions on Image Processing, 2013. en_US
dc.identifier.doi 10.1109/TIP.2013.2271118
dc.identifier.issn 1057-7149
dc.identifier.uri http://hdl.handle.net/1853/48685
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers en_US
dc.subject Image processing en_US
dc.subject Variational methods en_US
dc.subject Stereo vision en_US
dc.subject Multigrid en_US
dc.subject Constrained statistical optimization en_US
dc.subject Surface evolution en_US
dc.subject Remote sensing en_US
dc.subject Marine technology en_US
dc.subject Wave measurements en_US
dc.title Variational Stereo Imaging of Oceanic Waves with Statistical Constraints en_US
dc.type Text
dc.type.genre Article
dc.type.genre Post-print
dspace.entity.type Publication
local.contributor.author Yezzi, Anthony
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAuthorOfPublication 53ee63a2-04fd-454f-b094-02a4601962d8
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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