Title:
Variational Stereo Imaging of Oceanic Waves with Statistical Constraints
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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