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Authors: Oliver Wasenmüller ; Benjamin Schenkenberger and Didier Stricker

Affiliation: German Research Center for Artificial Intelligence (DFKI), Germany

ISBN: 978-989-758-227-1

Keyword(s): RGB-D Reconstruction, Non-rigid, Human Body Capture, Sparse Warp Field.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Software Engineering ; Stereo Vision and Structure from Motion

Abstract: Human body reconstruction is a very active field in recent Computer Vision research. The challenge is the moving human body while capturing, even when trying to avoid that. Thus, algorithms which explicitly cope with non-rigid movements are indispensable. In this paper, we propose a novel algorithm to extend existing rigid RGB-D reconstruction pipelines to handle non-rigid transformations. The idea is to store in addition to the model also the non-rigid transformation nrt of the current frame as a sparse warp field in the image space. We propose an algorithm to incrementally update this transformation nrt. In the evaluation we show that the novel algorithm provides accurate reconstructions and can cope with non-rigid movements of up to 5cm.

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Paper citation in several formats:
Wasenmüller, O.; Schenkenberger, B. and Stricker, D. (2017). Towards Non-rigid Reconstruction - How to Adapt Rigid RGB-D Reconstruction to Non-rigid Movements?.In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-227-1, pages 294-299. DOI: 10.5220/0006172402940299

@conference{visapp17,
author={Oliver Wasenmüller. and Benjamin Schenkenberger. and Didier Stricker.},
title={Towards Non-rigid Reconstruction - How to Adapt Rigid RGB-D Reconstruction to Non-rigid Movements?},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={294-299},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006172402940299},
isbn={978-989-758-227-1},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)
TI - Towards Non-rigid Reconstruction - How to Adapt Rigid RGB-D Reconstruction to Non-rigid Movements?
SN - 978-989-758-227-1
AU - Wasenmüller, O.
AU - Schenkenberger, B.
AU - Stricker, D.
PY - 2017
SP - 294
EP - 299
DO - 10.5220/0006172402940299

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