Estimating Body Shapes from Measurements

Margarida Lima, Joaquim Jorge, João Pereira

2022

Abstract

e-Commerce now represents more than a third of apparel sales in the USA and accounts for most sales growth year on year. However, it is still hard for people to buy clothes online because they have no idea how they will look. Thus, we present an approach to model an approximation of a human body shape with a given set of body measurements to fit virtual clothes. To estimate a new body shape from body measurements, we developed two different models by using respectively linear transformations and PCA weights. Additionally, we selected the minimum number of body measurements required to estimate a similar shape as the ground truth. Finally, we evaluated our approach by comparing our results with estimations and visual evaluation via pictures and measurements taken from real people. Results show that we can approximate human shape through measurements with sufficient fidelity to simulate garment fitting.

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Paper Citation


in Harvard Style

Lima M., Jorge J. and Pereira J. (2022). Estimating Body Shapes from Measurements. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 978-989-758-555-5, pages 318-325. DOI: 10.5220/0011002900003124


in Bibtex Style

@conference{grapp22,
author={Margarida Lima and Joaquim Jorge and João Pereira},
title={Estimating Body Shapes from Measurements},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2022},
pages={318-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011002900003124},
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 - Volume 1: GRAPP,
TI - Estimating Body Shapes from Measurements
SN - 978-989-758-555-5
AU - Lima M.
AU - Jorge J.
AU - Pereira J.
PY - 2022
SP - 318
EP - 325
DO - 10.5220/0011002900003124