Evaluation of 3D Body Shape Predictions Based on Features - 15.258

F. Danckaers et al., "Evaluation of 3D Body Shape Predictions Based on Features", in Proc. of 6th Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2015, pp. 258-265, https://doi.org/10.15221/15.258.

Title:

Evaluation of 3D Body Shape Predictions Based on Features

Authors:

Femke DANCKAERS, Toon HUYSMANS, Daniël LACKO, Jan SIJBERS

iMinds Vision Lab, Dept. of Physics, University of Antwerp, Belgium

Abstract:

The human body comes in many sizes and shapes. For design purposes, it is useful to be able to quickly simulate a virtual mannequin of a customer. A statistical shape model can be used for this purpose, because it describes the main variations of body shape inside the model's population. From this model, the specific features of each person in the population are known. Therefore, a mapping between the shape model parameters and specific features can be calculated, which allows adjusting the body shape, in an intuitive way. In this work, we have investigated how accurate a body shape can be predicted based on a set of features and which features are most suitable for this purpose. Height, weight, and hip circumference appeared to be the most suitable features to accurately predict the body shape.

Details:

Full paper: 15.258.pdf
Proceedings: 3DBST 2015, 27-28 Oct. 2015, Lugano, Switzerland
Pages: 258-265
DOI: 10.15221/15.258

License/Copyright notice:

Proceedings: © Hometrica Consulting - Dr. Nicola D'Apuzzo, Switzerland, hometrica.ch.
Authors retain all rights to individual papers, which are licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The papers appearing in the proceedings reflect the author's opinions. Their inclusion in the proceedings does not necessary constitute endorsement by the editor or by the publisher.


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