3D Color Body Scanning for Improved Sample Fit and Accuracy in Garment Design - 14.205

Andre West and Ashley Gabel, "3D Color Body Scanning for Improved Sample Fit and Accuracy in Garment Design", in Proc. of 5th Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2014, pp. 205-209, https://doi.org/10.15221/14.205.

Title:

3D Color Body Scanning for Improved Sample Fit and Accuracy in Garment Design

Authors:

Andre West, Ashley Gabel

NC State University College of Textiles, Department of Textiles and Apparel, Technology and Management, Raleigh, NC, USA

Abstract:

For hundreds of years, muslin has been used as the basic fabric from which most garment patterns, first round samples, or prototypes, are made. In the 21st century much of the industry has moved into CAD systems for pattern making, however, muslin remains the stand alone fabric used in pattern making for the evaluation of fit for a large part of the industry.
Muslin is known for its low cost, simple structure, and the ease for which it can be used. Unfortunately, many end-use fabrics, particularly in apparel where a wide range of fabric structures are used, are not comparable in characteristics to muslin. In fact, muslin may only be a good basis for cotton fabric woven with a plain weave structure due to the strikingly different behaviors of various yarn sizes, fiber types, and weave or knit structures. Therefore, using muslin to drape a pattern or fit a first-sample garment can actually be detrimental to the fit process, particularly in draping where the creation of the pattern depends solely on the fabric. Consequently, for an improved fit, a fabric more comparable to the ultimate end use fabric might be more appropriate when used for sampling and pattern draping.

Details:

Full paper: 14.205.pdf
Proceedings: 3DBST 2014, 21-22 Oct. 2014, Lugano, Switzerland
Pages: 205-209
DOI: 10.15221/14.205

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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