Three-step Alignment Approach for Fitting a Normalized Mask of a Person Rotating in A-Pose or T-Pose Essential for 3D Reconstruction based on 2D Images and CGI Derived Reference Target Pose

Gerald Adam Zwettler, Gerald Adam Zwettler, Christoph Praschl, David Baumgartner, Tobias Zucali, Dora Turk, Martin Hanreich, Andreas Schuler, Andreas Schuler

2021

Abstract

The 3D silhouette reconstruction of a human body rotating in front of a monocular camera system is a very challenging task due to elastic deformation and positional mismatch from body motion. Nevertheless, knowledge of the 3D body shape is a key information for precise determination of one’s clothing sizes, e.g. for precise shopping to reduce the number of return shipments in online retail. In this paper a novel three step alignment process is presented, utilizing As-Rigid-As-Possible (ARAP) transformations to normalize the body joint skeleton derived from OpenPose with a CGI rendered reference model in A- or T-pose. With further distance-map accelerated registration steps, positional mismatches and inaccuracies from the OpenPose joint estimation are compensated thus allowing for 3D silhouette reconstruction of a moving and elastic object without the need for sophisticated statistical shape models. Tests on both, artificial and real-world data, generally proof the practicability of this approach with all three alignment/registration steps essential and adequate for 3D silhouette reconstruction data normalization.

Download


Paper Citation


in Harvard Style

Zwettler G., Praschl C., Baumgartner D., Zucali T., Turk D., Hanreich M. and Schuler A. (2021). Three-step Alignment Approach for Fitting a Normalized Mask of a Person Rotating in A-Pose or T-Pose Essential for 3D Reconstruction based on 2D Images and CGI Derived Reference Target Pose. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP; ISBN 978-989-758-488-6, SciTePress, pages 281-292. DOI: 10.5220/0010194102810292


in Bibtex Style

@conference{visapp21,
author={Gerald Adam Zwettler and Christoph Praschl and David Baumgartner and Tobias Zucali and Dora Turk and Martin Hanreich and Andreas Schuler},
title={Three-step Alignment Approach for Fitting a Normalized Mask of a Person Rotating in A-Pose or T-Pose Essential for 3D Reconstruction based on 2D Images and CGI Derived Reference Target Pose},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP},
year={2021},
pages={281-292},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010194102810292},
isbn={978-989-758-488-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP
TI - Three-step Alignment Approach for Fitting a Normalized Mask of a Person Rotating in A-Pose or T-Pose Essential for 3D Reconstruction based on 2D Images and CGI Derived Reference Target Pose
SN - 978-989-758-488-6
AU - Zwettler G.
AU - Praschl C.
AU - Baumgartner D.
AU - Zucali T.
AU - Turk D.
AU - Hanreich M.
AU - Schuler A.
PY - 2021
SP - 281
EP - 292
DO - 10.5220/0010194102810292
PB - SciTePress