A Dense Surface Motion Capture System for Accurate Acquisition of Cloth Deformation - 15.120

A. Neophytou et al., "A Dense Surface Motion Capture System for Accurate Acquisition of Cloth Deformation", in Proc. of 6th Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2015, pp. 120-126, https://doi.org/10.15221/15.120.

Title:

A Dense Surface Motion Capture System for Accurate Acquisition of Cloth Deformation

Authors:

Alexandros NEOPHYTOU, Jean-Yves GUILLEMAUT, Adrian HILTON

CVSSP, University of Surrey Guildford, Surrey, UK

Abstract:

In this paper, a system for dense surface capture of cloth deformation is presented. In the proposed pipeline cloth motion and dynamics are captured and reconstructed from a multi-view camera set-up. To allow precise tracking of a high number of surface points a tailored pattern is printed on the cloth. Several existing approaches make use of a printed pattern where point correspondence is determined using colour-coded vertex neighborhoods. In this paper we show that point correspondence can be improved and refined using a Laplacian mesh fitting process in the image domain. Results show an average increase of 20% in the number of correctly labelled markers.

Details:

Full paper: 15.120.pdf
Proceedings: 3DBST 2015, 27-28 Oct. 2015, Lugano, Switzerland
Pages: 120-126
DOI: 10.15221/15.120

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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