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Authors: Agust´ın Salgado and Javier Sánchez

Affiliation: University of Las Palmas de Gran Canaria, Spain

Keyword(s): disparity map, optical flow, stereoscopic vision.

Related Ontology Subjects/Areas/Topics: Image Processing ; Informatics in Control, Automation and Robotics ; Robotics and Automation ; Vision, Recognition and Reconstruction

Abstract: The aim of this work is to put together two methods in order to improve the solutions for the problem of 3D geometry reconstruction from a stereoscopic pair of images. We use a method that we have developed in recent works which is based on an energy minimisation technique. This energy yields a partial differential equation (PDE) and is well suited for accurately estimating the disparity maps. One of the problems of this kind of techniques is that it depends strongly on the initial approximation. For this reason we have used a method based on graph–cuts which has demonstrated to obtain good initial guess.

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Paper citation in several formats:
Salgado, A. and Sánchez, J. (2005). COMBINING TWO METHODS TO ACCURATELY ESTIMATE DENSE DISPARITY MAPS. In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 972-8865-30-9; ISSN 2184-2809, SciTePress, pages 210-214. DOI: 10.5220/0001178102100214

@conference{icinco05,
author={Agust´ın Salgado. and Javier Sánchez.},
title={COMBINING TWO METHODS TO ACCURATELY ESTIMATE DENSE DISPARITY MAPS},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2005},
pages={210-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001178102100214},
isbn={972-8865-30-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - COMBINING TWO METHODS TO ACCURATELY ESTIMATE DENSE DISPARITY MAPS
SN - 972-8865-30-9
IS - 2184-2809
AU - Salgado, A.
AU - Sánchez, J.
PY - 2005
SP - 210
EP - 214
DO - 10.5220/0001178102100214
PB - SciTePress