ShapeMate: A Virtual Tape Measure - 13.127

A. Neophytou et al., "ShapeMate: A virtual Tape Measure", in Proc. of 4th Int. Conf. on 3D Body Scanning Technologies, Long Beach CA, USA, 2013, pp. 127-133, https://doi.org/10.15221/13.127.

Title:

ShapeMate: A Virtual Tape Measure

Authors:

Alexandros NEOPHYTOU, Qizhi YU, Adrian HILTON

Centre for Vision, Speech and Signal Processing, University of Surrey, Surrey, UK

Abstract:

We introduce ShapeMate, a framework for human body shape estimation and classification for on-line fashion applications. Given a single image of a subject our framework is able to simultaneously estimate detailed 3D human body shape and compute foreground segmentation with minimal user input. Once the body shape has been estimated, various semantic parameters are extracted for garment size and style recommendation. Preliminary results demonstrate that a single image holds enough information for accurate shape classification.

Keywords:

body shape estimation, classification, on-line fashion

Details:

Full paper: 13.127.pdf
Proceedings: 3DBST 2013, 19-20 Nov. 2013, Long Beach California, USA
Pages: 127-133
DOI: https://doi.org/10.15221/13.127

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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