Automatic Estimation of Anthropometric Human Body Measurements

Dana Škorvánková, Adam Riečický, Martin Madaras, Martin Madaras

2022

Abstract

Research tasks related to human body analysis have been drawing a lot of attention in computer vision area over the last few decades, considering its potential benefits on our day-to-day life. Anthropometry is a field defining physical measures of a human body size, form, and functional capacities. Specifically, the accurate estimation of anthropometric body measurements from visual human body data is one of the challenging problems, where the solution would ease many different areas of applications, including ergonomics, garment manufacturing, etc. This paper formulates a research in the field of deep learning and neural networks, to tackle the challenge of body measurements estimation from various types of visual input data (such as 2D images or 3D point clouds). Also, we deal with the lack of real human data annotated with ground truth body measurements required for training and evaluation, by generating a synthetic dataset of various human body shapes and performing a skeleton-driven annotation.

Paper Citation

in Harvard Style

Škorvánková D., Riečický A. and Madaras M. (2022). Automatic Estimation of Anthropometric Human Body Measurements. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP; ISBN 978-989-758-555-5, SciTePress, pages 537-544. DOI: 10.5220/0010878100003124

in Bibtex Style

@conference{visapp22,
author={Dana Škorvánková and Adam Riečický and Martin Madaras},
title={Automatic Estimation of Anthropometric Human Body Measurements},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP},
year={2022},
pages={537-544},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010878100003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP
TI - Automatic Estimation of Anthropometric Human Body Measurements
SN - 978-989-758-555-5
AU - Škorvánková D.
AU - Riečický A.
AU - Madaras M.
PY - 2022
SP - 537
EP - 544
DO - 10.5220/0010878100003124
PB - SciTePress