loading
Papers

Research.Publish.Connect.

Paper

Authors: Roberto P. Palomares ; Gloria Haro and Coloma Ballester

Affiliation: Universitat Pompeu Fabra, Spain

ISBN: 978-989-758-227-1

Keyword(s): Scene Flow, Variational Methods, Coordinate Descent, Sparse Matches.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Pattern Recognition ; Software Engineering

Abstract: This paper presents a novel variational approach for the joint estimation of scene flow and occlusions. Our method does not assume that a depth sensor is available. Instead, we use a stereo sequence and exploit the fact that points that are occluded in time, might be visible from the other view and thus the 3D geometry can be densely reinforced in an appropriate manner through a simultaneous motion occlusion characterization. Moreover, large displacements are correctly captured thanks to an optimization strategy that uses a set of sparse image correspondences to guide the minimization process. We include qualitative and quantitative experimental results on several datasets illustrating that both proposals help to improve the baseline results.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.225.194.144

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
P. Palomares, R.; Haro, G. and Ballester, C. (2017). Joint Large Displacement Scene Flow and Occlusion Variational Estimation.In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6 VISAPP: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-227-1, pages 172-180. DOI: 10.5220/0006110601720180

@conference{visapp17,
author={Roberto P. Palomares. and Gloria Haro. and Coloma Ballester.},
title={Joint Large Displacement Scene Flow and Occlusion Variational Estimation},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6 VISAPP: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={172-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006110601720180},
isbn={978-989-758-227-1},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6 VISAPP: VISAPP, (VISIGRAPP 2017)
TI - Joint Large Displacement Scene Flow and Occlusion Variational Estimation
SN - 978-989-758-227-1
AU - P. Palomares, R.
AU - Haro, G.
AU - Ballester, C.
PY - 2017
SP - 172
EP - 180
DO - 10.5220/0006110601720180

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.