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

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

Descripción

Título: Joint 4-D variational stereo reconstruction and camera calibration refinement for oceanic sea state measurements
Autor/es:
  • Shih, Ping-Chang
  • Gallego Bonet, Guillermo
  • Yezzi, Anthony
  • Fedele, Francesco
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 33rd International Conference on Ocean, Offshore and Arctic Engineering (OMAE2014)
Fechas del Evento: 08/06/2014 - 13/06/2014
Lugar del Evento: San Francisco, California, EE.UU
Título del Libro: Proceedings of the ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering (OMAE2014)
Fecha: 2014
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaTEC2010-20412Sin especificarSin especificarSin especificar

Más información

ID de Registro: 37594
Identificador DC: http://oa.upm.es/37594/
Identificador OAI: oai:oa.upm.es:37594
Depositado por: Memoria Investigacion
Depositado el: 28 Oct 2015 19:21
Ultima Modificación: 06 Jun 2016 19:21
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