Weak Statistical Constraints for Variational Stereo Imaging of Oceanic Waves

Gallego Bonet, Guillermo and Yezzi, Anthony and Fedele, Francesco and Benetazzo, Alvise (2011). Weak Statistical Constraints for Variational Stereo Imaging of Oceanic Waves. In: "3rd International Conference on Scale Space and Variational Methods in Computer Vision", 29 May – 02 Jun, Dead See Region, Israel.

Description

Title: Weak Statistical Constraints for Variational Stereo Imaging of Oceanic Waves
Author/s:
  • Gallego Bonet, Guillermo
  • Yezzi, Anthony
  • Fedele, Francesco
  • Benetazzo, Alvise
Item Type: Presentation at Congress or Conference (Poster)
Event Title: 3rd International Conference on Scale Space and Variational Methods in Computer Vision
Event Dates: 29 May – 02 Jun
Event Location: Dead See Region, Israel
Title of Book: Lecture Notes in Computer Science
Date: 14 March 2011
Volume: 6667/2
Subjects:
Freetext Keywords: Marine technology, remote sensing, stereo vision, image processing, variational methods, multigrid methods, constrained optimization
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

We develop an observational technique for the stereoscopic reconstruction of the wave form of oceanic sea states via a variational stereo method. In the context of active surfaces, the shape and radiance of the wave surface are obtained as minimizers of an energy functional that combines image observations and smoothness priors. To obey the quasi Gaussianity of oceanic waves observed in nature, a given statistical wave law is enforced in the stereo variational framework as a weak constraint. Multigrid methods are then used to solve the partial differential equations derived from the optimality conditions of the augmented energy functional. An application of the developed method to two sets of experimental stereo data is finally presented.

More information

Item ID: 10473
DC Identifier: http://oa.upm.es/10473/
OAI Identifier: oai:oa.upm.es:10473
Official URL: http://www.springerlink.com
Deposited by: Dr Guillermo Gallego Bonet
Deposited on: 08 Mar 2012 12:35
Last Modified: 20 Apr 2016 18:40
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