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Authors: Matthew Moynihan 1 ; Rafael Pagés 2 and Aljosa Smolic 1

Affiliations: 1 V-SENSE, School of Computer Science and Statistics, Trinity College Dublin, Ireland ; 2 V-SENSE, School of Computer Science and Statistics, Trinity College Dublin, Ireland, Volograms Ltd, Dublin, Ireland

ISBN: 978-989-758-354-4

Keyword(s): Point Clouds, Upsampling, Temporal Coherence, Free Viewpoint Video, Multiview Video.

Abstract: This paper presents an approach to upsampling point cloud sequences captured through a wide baseline camera setup in a spatio-temporally consistent manner. The system uses edge-aware scene flow to understand the movement of 3D points across a free-viewpoint video scene to impose temporal consistency. In addition to geometric upsampling, a Hausdorff distance quality metric is used to filter noise and further improve the density of each point cloud. Results show that the system produces temporally consistent point clouds, not only reducing errors and noise but also recovering details that were lost in frame-by-frame dense point cloud reconstruction. The system has been successfully tested in sequences that have been captured via both static or handheld cameras.

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Paper citation in several formats:
Moynihan, M.; Pagés, R. and Smolic, A. (2019). Spatio-temporal Upsampling for Free Viewpoint Video Point Clouds.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-354-4, pages 684-692. DOI: 10.5220/0007361606840692

@conference{visapp19,
author={Matthew Moynihan. and Rafael Pagés. and Aljosa Smolic.},
title={Spatio-temporal Upsampling for Free Viewpoint Video Point Clouds},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2019},
pages={684-692},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007361606840692},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - Spatio-temporal Upsampling for Free Viewpoint Video Point Clouds
SN - 978-989-758-354-4
AU - Moynihan, M.
AU - Pagés, R.
AU - Smolic, A.
PY - 2019
SP - 684
EP - 692
DO - 10.5220/0007361606840692

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