Estimating Body Shapes from Measurements

Margarida Lima; Joaquim Jorge; João Pereira

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Paper

Estimating Body Shapes from Measurements

Topics: Geometric Computing; Surface Modeling

In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP, 318-325, 2022

Authors: Margarida Lima ; Joaquim Jorge and João Pereira

Affiliation: INESC-ID Lisboa, Instituto Superior Técnico da Universidade de Lisboa, Av. Rovisco Pais, Lisbon, Portugal

Keyword(s): Virtual Garment Fitting, Body Shape, PCA, Linear Transformation, Body Measurements.

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 several formats:

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 - GRAPP, ISBN 978-989-758-555-5; ISSN 2184-4321, pages 318-325. DOI: 10.5220/0011002900003124

@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 - GRAPP,},
year={2022},
pages={318-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011002900003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP,
TI - Estimating Body Shapes from Measurements
SN - 978-989-758-555-5
IS - 2184-4321
AU - Lima, M.
AU - Jorge, J.
AU - Pereira, J.
PY - 2022
SP - 318
EP - 325
DO - 10.5220/0011002900003124