Joint 4-D variational stereo reconstruction and camera calibration refinement for oceanic sea state measurements

Shih, Ping-Chang and Gallego Bonet, Guillermo and Yezzi, Anthony and Fedele, Francesco (2014). Joint 4-D variational stereo reconstruction and camera calibration refinement for oceanic sea state measurements. In: "33rd International Conference on Ocean, Offshore and Arctic Engineering (OMAE2014)", 08/06/2014 - 13/06/2014, San Francisco, California, EE.UU. pp. 1-8.

Description

Title: Joint 4-D variational stereo reconstruction and camera calibration refinement for oceanic sea state measurements
Author/s:
  • Shih, Ping-Chang
  • Gallego Bonet, Guillermo
  • Yezzi, Anthony
  • Fedele, Francesco
Item Type: Presentation at Congress or Conference (Article)
Event Title: 33rd International Conference on Ocean, Offshore and Arctic Engineering (OMAE2014)
Event Dates: 08/06/2014 - 13/06/2014
Event Location: San Francisco, California, EE.UU
Title of Book: Proceedings of the ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering (OMAE2014)
Date: 2014
Subjects:
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

Validating modern oceanographic theories using models produced through stereo computer vision principles has recently emerged. Space-time (4-D) models of the ocean surface may be generated by stacking a series of 3-D reconstructions independently generated for each time instant or, in a more robust manner, by simultaneously processing several snapshots coherently in a true ?4-D reconstruction.? However, the accuracy of these computer-vision-generated models is subject to the estimations of camera parameters, which may be corrupted under the influence of natural factors such as wind and vibrations. Therefore, removing the unpredictable errors of the camera parameters is necessary for an accurate reconstruction. In this paper, we propose a novel algorithm that can jointly perform a 4-D reconstruction as well as correct the camera parameter errors introduced by external factors. The technique is founded upon variational optimization methods to benefit from their numerous advantages: continuity of the estimated surface in space and time, robustness, and accuracy. The performance of the proposed algorithm is tested using synthetic data produced through computer graphics techniques, based on which the errors of the camera parameters arising from natural factors can be simulated.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2010-20412UnspecifiedUnspecifiedUnspecified

More information

Item ID: 37594
DC Identifier: http://oa.upm.es/37594/
OAI Identifier: oai:oa.upm.es:37594
Deposited by: Memoria Investigacion
Deposited on: 28 Oct 2015 19:21
Last Modified: 06 Jun 2016 19:21
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