Shape-from-Silhouettes Algorithm with Built-in Occlusion Detection and Removal

Maarten Slembrouck, Dimitri Van Cauwelaert, Peter Veelaert, Wilfried Philips

2015

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.

Paper Citation

in Harvard Style

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 - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8, pages 635-642. DOI: 10.5220/0005355506350642

in Bibtex Style

@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 - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={635-642},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005355506350642},
isbn={978-989-758-091-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - Shape-from-Silhouettes Algorithm with Built-in Occlusion Detection and Removal
SN - 978-989-758-091-8
AU - Slembrouck M.
AU - Van Cauwelaert D.
AU - Veelaert P.
AU - Philips W.
PY - 2015
SP - 635
EP - 642
DO - 10.5220/0005355506350642