Auto-Generation Method of Child Basic Block Structure

• Published in: 东华大学学报（英文版） Vol. 40; no. 2; pp. 164 - 170
• Main Authors: WU Sheng, RAO Jue, JIANG Xuewei, ZHONG Anhua, ZHANG Shangyong
• Format: Journal Article
• Language: English
• Published: School of Textile Science and Engineering,Wuhan Textile University,Wuhan 430200,China%School of Fashion,Wuhan Textile University,Wuhan 430073,China 01.04.2023
• Subjects: virtual fitting; auto-generation; Auto-CAD parameterization; paper pattern; back propagation(BP)neural network
• DOI: 10.19884/j.1672-5220.202205006
• ISSN: 1672-5220

TS941.2; In order to realize the auto-generation of clothing paper pattern making and reduce the reliance on the experience of clothing pattern makers,by simulating the experience of the clothing pattern maker through back propagation(BP)neural network,400 children's body measurements are collected and drawn into the clothing paper pattern,and the children's body measurements and the pattern sizes generated through the children's clothing structure design rules are imported into MATLAB neural network toolbox and a neural network model is established to automatically become the predicted pattern size.Then the parametric mathematical model of children's clothing paper pattern is established and the children's body measurements is imported into Auto-CAD parametric function to generate children's clothing paper pattern automatically.The experimental interface and the virtual try-on interface are demonstrated and their effects are evaluated.The results show that the production rate of clothing paper patterns is improved by the auto-generation method,which is of positive significance to the intelligent production of clothing enterprises.