Title :
A survey on pattern-making technologies in Garment CAD
Author :
Yi Xiu ; Zhen-Kai Wan
Author_Institution :
Computer Information Center, Beijing Institute of Fashion Technology, 100029, China
Abstract :
Since interactive pattern-making technique in Garment CAD has its inherent limitation, some advanced pattern-making ones are intensively studied. This paper reviews state-of-art pattern-making techniques, including pattern generation based on artificial neural network, pattern flattening technique from 3D human or garment model and parametric pattern-making technique. In each technique, basic principles, characteristic and application are systematically discussed and commented. In first technique, the model of artificial neural network is constructed to simulate a pattern-making process. Pattern flattening technique is one of the key techniques of 3D GCAD system, geometrical and physical pattern flattening approaches are presented in this technique. Variant programming, macro definition, parametric model based on sequence and dimensional constraints, parametric model based on dimensional and geometric constraints are included in parametric pattern-making technique, parametric model based on dimensional and geometric constraints is considered as a promising one.
Keywords :
Artificial neural networks; Clothing; Data models; Design automation; Solid modeling; Strain; Three-dimensional displays; Garment CAD; artificial neural network; parametric pattern-making model; pattern flattening; pattern-making technique;
Conference_Titel :
Conference Anthology, IEEE
Conference_Location :
China
DOI :
10.1109/ANTHOLOGY.2013.6784694