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Authors: Andrea Bönsch 1 ; Andrew Feng 2 ; Parth Patel 2 and Ari Shapiro 2

Affiliations: 1 Visual Computing Institute, RWTH Aachen University, Aachen and Germany ; 2 Institute for Creative Technologies, University of Southern California, Los Angeles and U.S.A.

Keyword(s): Avatar, Video Capture, Photogrammetry, Low-cost, Animation.

Related Ontology Subjects/Areas/Topics: Animation and Simulation ; Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Human Figure Animation ; Image-Based Animation ; Image-Based Modeling ; Pattern Recognition ; Software Engineering ; Surface Modeling

Abstract: Volumetric video can be used in virtual and augmented reality applications to show detailed animated performances by human actors. In this paper, we describe a volumetric capture system based on a photogrammetry cage with unsynchronized, low-cost cameras which is able to generate high-quality geometric data for animated avatars. This approach requires, inter alia, a subsequent synchronization of the captured videos.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Bönsch, A.; Feng, A.; Patel, P. and Shapiro, A. (2019). Volumetric Video Capture using Unsynchronized, Low-cost Cameras. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - GRAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 255-261. DOI: 10.5220/0007373202550261

@conference{grapp19,
author={Andrea Bönsch. and Andrew Feng. and Parth Patel. and Ari Shapiro.},
title={Volumetric Video Capture using Unsynchronized, Low-cost Cameras},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - GRAPP},
year={2019},
pages={255-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007373202550261},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - GRAPP
TI - Volumetric Video Capture using Unsynchronized, Low-cost Cameras
SN - 978-989-758-354-4
IS - 2184-4321
AU - Bönsch, A.
AU - Feng, A.
AU - Patel, P.
AU - Shapiro, A.
PY - 2019
SP - 255
EP - 261
DO - 10.5220/0007373202550261
PB - SciTePress