Abstract
Continuing earlier work, this paper conceptualizes an adaptive methodology to parametrically design garments on virtual mannequins for a target population. The target population is composed of 485 women scanned in 2006 by IFTH, the French research institute and it has been classified into three clusters which give us three parametric mannequins. In this paper, each of these mannequins is associated with a process of parametric garment design and its grading based on differences in stature, volume, and ease allowance. We show how neck and armhole lines are pivotal for draping the garment on a mannequin. We find clear benefits in terms of facilitation and improvement in our method of 3D parametrization providing design rules for specifying neck line and armhole line design. We expect this method of 3D parametric garment design to facilitate and improve not only the specific lines under analysis but also the design process as a whole, and hence to assure the good consumer fit.
Original language | English |
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Title of host publication | Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016 |
Publisher | World Scientific |
Pages | 984-989 |
Number of pages | 6 |
ISBN (Electronic) | 9789813146969 |
DOIs | |
Publication status | Published - 2016 |
MoE publication type | A4 Conference publication |
Event | International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference - Roubaix, France Duration: 24 Aug 2016 → 26 Aug 2016 Conference number: 12 |
Publication series
Name | World Scientific Proceedings Series on Computer Engineering and Information Science |
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Volume | 10 |
Conference
Conference | International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference |
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Abbreviated title | FLINS |
Country/Territory | France |
City | Roubaix |
Period | 24/08/2016 → 26/08/2016 |