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作 者:伍圣 饶崛 江学为 钟安华 张尚勇 WU Sheng;RAO Jue;JIANG Xuewei;ZHONG Anhua;ZHANG Shangyong(School of Textile Science and Engineering,Wuhan Textile University,Wuhan 430200,China;School of Fashion,Wuhan Textile University,Wuhan 430073,China)
机构地区:[1]School of Textile Science and Engineering,Wuhan Textile University,Wuhan 430200,China [2]School of Fashion,Wuhan Textile University,Wuhan 430073,China
出 处:《Journal of Donghua University(English Edition)》2023年第2期164-170,共7页东华大学学报(英文版)
摘 要: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.
关 键 词:paper pattern back propagation(BP)neural network Auto-CAD parameterization auto-generation virtual fitting
分 类 号:TS941.2[轻工技术与工程—服装设计与工程]
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