Surface Flattening Based on Energy Fabric Deformation Model in Garment Design

Yanjun Peng, Yuxiang Zhu, Mingmin Zhang, Yingran Ma, Yuanhong Wang
{"title":"Surface Flattening Based on Energy Fabric Deformation Model in Garment Design","authors":"Yanjun Peng, Yuxiang Zhu, Mingmin Zhang, Yingran Ma, Yuanhong Wang","doi":"10.1109/ICVRV.2017.00023","DOIUrl":null,"url":null,"abstract":"Applications such as garment industry require a two-dimensional (2D) model to assume a three-dimensional (3D) shape. A new surface flattening method based on energy fabric deformation is proposed in this paper. First, the 3D triangular mesh is flattened to a 2D plane to approximate the original surface through initial flattening. Then, the initial flattening result for further optimization by relaxing strain energy. A simplified energy-based fabric deformation model is proposed as our physical model for determining the optimum 2D pattern. Some key procedures for initial flattening are included such as new standard selection of seed triangle and new constrained triangle flattening method. An innovation unify axes system process is presented to get deformation energy. Energy relaxation is also presented can be used as local correction. Compared with other energy-based method, experiment results show that proposed method could achieve better flattening results.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"68 30","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRV.2017.00023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Applications such as garment industry require a two-dimensional (2D) model to assume a three-dimensional (3D) shape. A new surface flattening method based on energy fabric deformation is proposed in this paper. First, the 3D triangular mesh is flattened to a 2D plane to approximate the original surface through initial flattening. Then, the initial flattening result for further optimization by relaxing strain energy. A simplified energy-based fabric deformation model is proposed as our physical model for determining the optimum 2D pattern. Some key procedures for initial flattening are included such as new standard selection of seed triangle and new constrained triangle flattening method. An innovation unify axes system process is presented to get deformation energy. Energy relaxation is also presented can be used as local correction. Compared with other energy-based method, experiment results show that proposed method could achieve better flattening results.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
服装设计中基于能量织物变形模型的表面展平
服装行业等应用需要二维(2D)模型来呈现三维(3D)形状。提出了一种基于能量织物变形的曲面展平方法。首先,将三维三角形网格通过初始平面化,将其平面化为二维平面,逼近原平面;然后,对初始平坦化结果进行松弛应变能优化。提出了一种简化的基于能量的织物变形模型作为确定最佳二维图案的物理模型。给出了初始展平的几个关键步骤,如种子三角形的新标准选择和新的约束三角形展平方法。提出了一种创新的统一轴系过程来获取变形能。能量松弛也可以作为局部校正。实验结果表明,与其他基于能量的方法相比,该方法可以获得更好的平坦化效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Feature-Enhanced Surfaces from Incomplete Point Cloud with Segmentation and Curve Skeleton Information Efficiently Disassemble-and-Pack for Mechanism Surface Flattening Based on Energy Fabric Deformation Model in Garment Design A Novel Intelligent Thyroid Nodule Diagnosis System over Ultrasound Images Based on Deep Learning A Novel Reconstruction Method of 3D Heart Geometry Atlas Based on Visible Human
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1