@inproceedings{b91b5c3f3e334920a7fc37fcd9090774,
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",
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.",
keywords = "elastische, form, ausrichtung, mensch, k{\"o}rper, position, detektion, rekonstruktion, Silhouette, elastic, shape, alignment, human, body, pose, detection, reconstruction, silhouette, Elastic shape alignment, 3D body reconstruction, Human body pose detection, Silhouette reconstruction",
author = "Zwettler, {Gerald Adam} and Christoph Praschl and David Baumgartner and Tobias Zucali and Dora Turk and Martin Hanreich and Andreas Schuler",
note = "Publisher Copyright: Copyright {\textcopyright} 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.; 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021 ; Conference date: 08-02-2021 Through 10-02-2021",
year = "2021",
doi = "10.5220/0010194102810292",
language = "English",
series = "VISIGRAPP 2021 - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
publisher = "SciTePress",
pages = "281--292",
editor = "Farinella, {Giovanni Maria} and Petia Radeva and Jose Braz and Kadi Bouatouch",
booktitle = "VISAPP",
}