Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18384
Title: Cognitive garment panel design based on BSG representation and matching
Authors: Liang, S
Li, RH 
Baciu, G 
Keywords: Bi-Segment graph
Computer aided design
Fashion industry
Garment panel design
Sketching interface
Issue Date: 2012
Source: International journal of software science and computational intelligence, 2012, v. 4, no. 1, p. 84-99 How to cite?
Journal: International journal of software science and computational intelligence 
Abstract: Previously, the fashion industry and apparel manufacturing have been applying intelligent CAD technologies with sketching interfaces to operate garment panel shapes in digital form. The authors propose a novel bi-segment graph (BSG) representation and matching approach to facilitate the searching of panel shapes for sketch-based cognitive garment design and recommendation. First in the front-tier, they provide a sketching interface for designers to input and edit the clothing panels. A panel shape is then decomposed into a sequence of connected segments and represented by the proposed BSG model to encode its intrinsic features. A new matching metric based on minimal spanning tree is also proposed to compute the similarity between two BSG models. The simulation of the resulting garment design is also visualized and returned to the user in 3D. Experiment results show the effectiveness and efficiency of the proposed method.
URI: http://hdl.handle.net/10397/18384
ISSN: 1942-9045
DOI: 10.4018/jssci.2012010104
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