纺织学报 ›› 2020, Vol. 41 ›› Issue (08): 145-151.doi: 10.13475/j.fzxb.20190806507

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服装款式图识别与样板转换技术研究进展

李涛1, 杜磊1,2, 黄振华1, 蒋玉萍1, 邹奉元1,2()   

  1. 1.浙江理工大学 服装学院, 浙江 杭州 310018
    2.浙江理工大学 浙江省服装工程技术研究中心, 浙江 杭州 310018
  • 收稿日期:2019-08-26 修回日期:2020-04-09 出版日期:2020-08-15 发布日期:2020-08-21
  • 通讯作者: 邹奉元
  • 作者简介:李涛(1993—),男,博士生。主要研究方向为人体工程与服装数字化技术。
  • 基金资助:
    国家自然科学基金面上项目(11671009);国家级大学生创新创业训练计划项目(201910338011);浙江省教育厅一般科研项目(Y201840287)

Review on pattern conversion technology based on garment flat recognition

LI Tao1, DU Lei1,2, HUANG Zhenhua1, JIANG Yuping1, ZOU Fengyuan1,2()   

  1. 1. School of Fashion Design & Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
    2. Apparel Engineering Research Center of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
  • Received:2019-08-26 Revised:2020-04-09 Online:2020-08-15 Published:2020-08-21
  • Contact: ZOU Fengyuan

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摘要：

为揭示款式图与服装样板之间的转换机制,概述了依据款式图进行人工制板的过程和方法,阐述了服装款式图特征参数识别和机器学习识别2种识别方法,重点论述在款式图识别基础上的样板转换技术,并对其优缺点进行了分析。参数化和匹配转换是目前最常用的样板转换方法:参数化转换适用于款式结构较为定型的服装,转换精度高,但不同款式图需要建立各自的转换模型;匹配转换可实现样板的快速转换,鲁棒性高,且规避了样板设计规则,不足是精度较低,且前期需要构建庞大的数据集作为训练集。研究认为,未来可从细化款式图识别粒度、服装款式图面料参数样板多领域跨域匹配、部件化样板智能生成3个领域开展相关研究。

关键词: 服装款式图, 样板转换, 图像识别, 部件化样板, 参数化转换, 匹配转换

Abstract:

In order to reveal the influence of the conversion mechanism between garment flat and the pattern, this paper reviewed the processes and methods of making pattern manually according to the garment flat, emphasizing on the recognition methods of the characteristic parameters and the machine learning recognition. Discussions on the pattern conversion technology were carried out based on the garment flat recognition, and its advantages and disadvantages were analyzed. The research shows that parametric and match conversion are the most commonly used conversion methods. Parametric conversion is suitable for clothing with relatively fixed style. The conversion accuracy is high, but different garment flat needs to establish different conversion models. Match conversion can facilitate fast conversion of pattern with high robustness, and permit pattern making rules not to be followed. The disadvantage is that the accuracy is low and large data sets need to be built as training sets at the early stage. The review suggests that in the future, relevant researches should be carried out in three fields, i.e., fining garment flat recognition granularity, garment flat fabric parameter pattern multi-domain matching and componentized pattern generation.

Key words: garment flat, pattern conversion, image recognition, componentized pattern, parametric conversion, match conversion

中图分类号: 

  • TS941.17

图1

翻领模型识别步骤"

表1

款式图与样板之间的数据转换"

关键部位 图距 实距 放松量 净尺寸 加放尺寸
胸围 0.12 2.54 8 84 92
腰围 0.10 2.00 6 68 74
臀围 0.06 1.27 4 90 94

图2

款式图到样板参数化转换过程"

图3

基准样板调用示意图"

图4

样板匹配转换示意图"

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