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Authors: Bernardo F. Costa and Claudio Esperança

Affiliation: LCG/PESC, UFRJ, Av. Horácio Macedo 2030, CT, H-319 21941-590, Rio de Janeiro/RJ and Brazil

Keyword(s): Motion Capture, Keyframing, Spatial Keyframe, Dimension Reduction, Multidimensional Projection.

Related Ontology Subjects/Areas/Topics: Animation and Simulation ; Animation from Motion Capture ; Computer Vision, Visualization and Computer Graphics ; Human Figure Animation

Abstract: While motion capture (mocap) achieves realistic character animation at great cost, keyframing is capable of producing less realistic but more controllable animations. In this paper we show how to combine the Spatial Keyframing Framework (SKF) of Igarashi et al.(Igarashi et al., 2005) and multidimensional projection techniques to reuse mocap data in several ways. For instance, by extracting meaningful poses and projecting them on a plane, it is possible to sketch new animations using the SKF. Additionally, we show that multidimensional projection also can be used for visualization and motion analysis. We also propose a method for mocap compaction with the help of SK’s pose reconstruction (backprojection) algorithm. This compaction scheme was implemented for several known projection schemes and empirically tested alongside traditional temporal decimation schemes. Finally, we present a novel multidimensional projection optimization technique that significantly enhances SK-based compacti on and can also be applied to other contexts where a back-projection algorithm is available. (More)

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Paper citation in several formats:
Costa, B. and Esperança, C. (2019). Enhancing Spatial Keyframe Animations with Motion Capture. 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 31-40. DOI: 10.5220/0007296800310040

@conference{grapp19,
author={Bernardo F. Costa. and Claudio Esperan\c{C}a.},
title={Enhancing Spatial Keyframe Animations with Motion Capture},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - GRAPP},
year={2019},
pages={31-40},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007296800310040},
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 - Enhancing Spatial Keyframe Animations with Motion Capture
SN - 978-989-758-354-4
IS - 2184-4321
AU - Costa, B.
AU - Esperança, C.
PY - 2019
SP - 31
EP - 40
DO - 10.5220/0007296800310040
PB - SciTePress