Nonlocal Regularizing Constraints in Variational Optical Flow

Joan Duran; Antoni Buades

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Paper

Nonlocal Regularizing Constraints in Variational Optical Flow

Topics: Optical Flow and Motion Analyses

In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6 VISAPP: VISAPP, 151-161, 2017 , Porto, Portugal

Authors: Joan Duran and Antoni Buades

Affiliation: University of Balearic Islands, Spain

Keyword(s): Optical Flow, Motion Estimation, Variational Methods, Multiscale, Nonlocal Energy Terms, Total Variation.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses

Abstract: Optical flow methods try to estimate a dense correspondence field describing the motion of the objects in an image sequence. We introduce novel nonlocal regularizing constraints for variational optical flow computation. While the use of similarity weights has been restricted to the regularization term so far, the proposed data terms permit to implicitly use the image geometry in order to regularize the flow and better locate motion discontinuities. The experimental results illustrate the superiority of the new constraints with respect to the classical brightness constancy assumption as well as to nonlocal regularization strategies.

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Paper citation in several formats:

Duran, J. and Buades, A. (2017). Nonlocal Regularizing Constraints in Variational Optical Flow. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP; ISBN 978-989-758-227-1; ISSN 2184-4321, SciTePress, pages 151-161. DOI: 10.5220/0006098501510161

@conference{visapp17,
author={Joan Duran. and Antoni Buades.},
title={Nonlocal Regularizing Constraints in Variational Optical Flow},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP},
year={2017},
pages={151-161},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006098501510161},
isbn={978-989-758-227-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP
TI - Nonlocal Regularizing Constraints in Variational Optical Flow
SN - 978-989-758-227-1
IS - 2184-4321
AU - Duran, J.
AU - Buades, A.
PY - 2017
SP - 151
EP - 161
DO - 10.5220/0006098501510161
PB - SciTePress