Fuzzy optimisation modelling for apparel fit from body scanning data mining

Qin, Sheng-feng and Yang, Lifang (2009) Fuzzy optimisation modelling for apparel fit from body scanning data mining. In: Proceedings of the 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery. IEEE, Piscataway, NJ, pp. 255-259. ISBN 9780769537351

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/FSKD.2009.126

Abstract

The paper presents a fuzzy optimization modeling for apparel fit design. The apparel fit issue is associated with mass-production of clothes and mass customization. The emerging technologies such as 3D body scanning and 3D visualization have enabled accurate 3D body measurements and virtual try-on design and apparel fit evaluation. However, the apparel fit is a very complicated issue, it is not only related to accurate body measurements, but also to body shapes, functional and motion needs, and personal preference. The proposed optimization model is capable of addressing general multi-dimensional fit issues and can be solved by a stepwise optimization process.

Item Type: Book Section
Subjects: G900 Others in Mathematical and Computing Sciences
W200 Design studies
Department: Faculties > Arts, Design and Social Sciences > School of Design > Design
Faculties > Arts, Design and Social Sciences > School of Design > Design
Faculties > Arts, Design and Social Sciences > School of Design > Design
Depositing User: Ay Okpokam
Date Deposited: 18 Dec 2015 10:53
Last Modified: 10 Nov 2016 12:39
URI: http://nrl.northumbria.ac.uk/id/eprint/25091

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