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Authors: Maarten Slembrouck ; Dimitri Van Cauwelaert ; Peter Veelaert and Wilfried Philips

Affiliation: Ghent University, Belgium

Keyword(s): Multi-camera, Occlusion, Visual Hull, 3D Modelling.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image and Video Analysis ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Segmentation and Grouping ; Software Engineering ; Tracking and Visual Navigation

Abstract: Occlusion and inferior foreground/background segmentation still poses a big problem to 3D reconstruction from a set of images in a multi-camera system because it has a destructive nature on the reconstruction if one or more of the cameras do not see the object properly. We propose a method to obtain a 3D reconstruction which takes into account the possibility of occlusion by combining the information of all cameras in the multicamera setup. The proposed algorithm tries to find a consensus of geometrical predicates that most cameras can agree on. The results show a performance with an average error lower than 2cm on the centroid of a person in case of perfect input silhouettes. We also show that tracking results are significantly improved in a room with a lot of occlusion.

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Paper citation in several formats:
Slembrouck, M.; Van Cauwelaert, D.; Veelaert, P. and Philips, W. (2015). Shape-from-Silhouettes Algorithm with Built-in Occlusion Detection and Removal. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP; ISBN 978-989-758-091-8; ISSN 2184-4321, SciTePress, pages 635-642. DOI: 10.5220/0005355506350642

@conference{visapp15,
author={Maarten Slembrouck. and Dimitri {Van Cauwelaert}. and Peter Veelaert. and Wilfried Philips.},
title={Shape-from-Silhouettes Algorithm with Built-in Occlusion Detection and Removal},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP},
year={2015},
pages={635-642},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005355506350642},
isbn={978-989-758-091-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP
TI - Shape-from-Silhouettes Algorithm with Built-in Occlusion Detection and Removal
SN - 978-989-758-091-8
IS - 2184-4321
AU - Slembrouck, M.
AU - Van Cauwelaert, D.
AU - Veelaert, P.
AU - Philips, W.
PY - 2015
SP - 635
EP - 642
DO - 10.5220/0005355506350642
PB - SciTePress

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