Journal of Textile Research ›› 2022, Vol. 43 ›› Issue (12): 151-159.doi: 10.13475/j.fzxb.20211003609

• Apparel Engineering • Previous Articles     Next Articles

Shirt pattern generating method based on 3-D human scanning model

XIAO Boxiang, LIU Zhengdong(), GUO Yucheng, WANG Yuanxia   

  1. School of Fashion, Beijing Institute of Fashion Technology, Beijing 100029, China
  • Received:2021-10-19 Revised:2022-07-28 Online:2022-12-15 Published:2023-01-06
  • Contact: LIU Zhengdong E-mail:jsjlzd@bift.edu.cn

RichHTML

14

PDF (PC)

128

Abstract:

Aiming at uncontrollable matching error between automatically generated pattern and body shape in shirt customization, an automatic generating method based on 3-D human body scanning model is proposed. The personalized 3-D human model was obtained by scanning the target human body, and the personalized body feature points were extracted on the 3-D human model by analyzing the geometric characteristics of the cross-section curves of the model. A standard 3-D basic model of a shirt was constructed by using the standard mannequin for garment pattern making, and as-rigid-as possible (ARAP) deformation algorithm was used to create the deformation of the standard 3-D basic model with the personalized body feature points as constraints. Finally, using a 3-D model flattening algorithm based on the mass-spring system, the corresponding 2-D pattern was generated according to the deformed 3-D clothing models, and offsets of the edge lines of the pattern verified by experiments were considered in generating the final personalized shirt pattern that adapts to the target body shape. The experimental results show that this method can generate shirt pattern with good fitting. Based on the digital model and automatic processing algorithm, automatic generation of shirt pattern can be achieved that ensures the accuracy and improves the efficiency of personalized pattern making. The research outcome provides a technical solution for garment intelligent manufacturing.

Key words: garment CAD, 3-D human body scanning, men's shirt, pattern generating, mass-spring system, customized garment

CLC Number: 

  • TS941.26

Fig.1

Flowchart of proposed method"

Fig.2

3-D human body scanning device (a) and scanned model sample (b)"

Fig.3

Scanned 3-D human body model analysis and extraction of feature points, curves, intersections. (a) Scanned model; (b) Intersection curves; (c) Feature curves on body; (d) Feature points"

Fig.4

3-D base shape model of cloth. (a) Triangle surface model; (b) Mesh structure with key curves"

Fig.5

3-D cloth model deformation by constrains of feature points. (a) Source model and feature points; (b) Comparison of source and aim points set; (c) Aim model and feature points"

Fig.6

3-D shape flatten via physics-based model"

Fig.7

Flatten of left-front piece and internal energy distribution. (a)3-D piece;(b)2-D piece; (c)Energy distribution"

Fig.8

Edge curves on left-front piece. (a)3-D piece; (b)Front-middle curve;(c)Collar curve;(d)Shoulder curve;(e)Sleeve hole curve; (f)Side edge curve; (g)Bottom edge curve"

Tab.1

Deformation comparison between 2-D and 3-D shapes"

参数 前中/
mm		 领/
mm		 肩/
mm		 袖窿/
mm		 侧缝/
mm		 底边/
mm		 面积/
mm2
三维
长度		 657.0 122.3 135.1 195.9 531.2 219.2 144 339
二维
长度		 652.8 122.1 135.3 196.6 528.3 219.6 144 353
变形率/% -0.64 -0.15 0.17 0.37 -0.53 0.18 0.01

Fig.9

Flatten of front, back and shoulder for shirt patterns. (a)3-D piece; (b)2-D piece; (c)2-D pattern"

Fig.10

Deformation of edge curves of front, back and shoulder pieces, and generated collar and sleeve pieces"

Tab.2

Offset values and direction of key points on edge curves of pattern"

版片特征点 偏移值/cm 偏移方式
前肩点 1 沿肩线延伸
前胸侧点 3 偏移x坐标值
-1 偏移y坐标值
前底侧点 3 偏移x坐标值
-1 偏移y坐标值
后肩点 1 沿肩线延伸
后背侧点 1 沿横向延伸
后胸侧点 3 偏移x坐标值
-1 偏移y坐标值
后底侧点 3 偏移x坐标值
-1 偏移y坐标值

Tab.3

Comparison of main measurement parameters for fitting evaluation of patterncm"

项目 胸围 领围 肩宽 衣长 袖长
人体手工量体尺寸 89 40 45 64 53
三维模型测量尺寸 88 40 44 56 54
手工制版加放松量 13 2 2 0 3
本文方法加放松量 12 0 2 10 3
本文样衣实测尺寸 100 41 43 66 57

Fig.11

Results of clothing try on real human body. (a) Front view; (b) Side view; (c) Back view; (d) Action of arm rising up; (e) Action of arm back; (f) Action of arm front"

Tab.4

Geometric information of models and processing time of system modulus"

算法与处理流程 运行时间/s
体型特征点分析
(31个体型特征点,三维人体模型约93 800
个顶点,171 000个三角面)		 22
三维模型保刚性变形
(三维模型1 177个顶点,2 232个三角面)		 12
三维版型展平(迭代10 000次)
(肩片50个顶点,72个三角面)		 3
三维版型展平(迭代10 000次)
(后片120个顶点,198个三角面)		 5
三维版型展平(迭代10 000次)
(前片310个顶点,531个三角面)		 9
二维版型后处理 1
[1] 贺宪亭. 数字技术驱动服装产业定制化转型[J]. 纺织高校基础科学学报, 2018, 31(1): 19-24.
HE Xianting. Digital technology drives customized transformation of garment industry[J]. Basics Sciences Journal of Textile Universities, 2018, 31(1): 19-24.
[2] LIU Yongjin, ZHANG DongLiang, YUEN Matthew Mingfai. A survey on CAD methods in 3D garment design[J]. Computers in Industry, 2010, 61(6):576-593.
doi: 10.1016/j.compind.2010.03.007
[3] 刘咏梅, 张闪, 崔艳. 论服装设计方法与服装先进制造的逻辑关系[J]. 纺织学报, 2014, 35(8):81-86.
LIU Yongmei, ZHANG Shan, CUI Yan. Logical relationship between garment design method and garment advanced manufacture technology[J]. Journal of Textile Research, 2014, 35(8):81-86.
[4] 夏明. 基于椭圆傅里叶的女性体型分析与个性化原型定制研究[D]. 上海: 东华大学, 2015: 10-16.
XIA Ming. Shape analysis of female body using elliptical fourier and block pattern customization[D]. Shanghai: Donghua Uuiversity, 2015:10-16.
[5] LIU Kaixuan, ZENG Xianyi, BRUNIAUX Pascal, et al. 3D interactive garment pattern-making technology[J]. Computer-Aided Design, 2018, 104(11):113-124.
doi: 10.1016/j.cad.2018.07.003
[6] MENG Yuwei, WANG Charlie C L, JIN Xiaogang. Flexible shape control for automatic resizing of apparel products[J]. Computer-Aided Design, 2012, 44(1):68-76.
doi: 10.1016/j.cad.2010.11.008
[7] GE Yuying, ZHANG Ruimao, WANG Xiaogang, et al. DeepFashion2: a versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images[C]// Proc of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recogni-tion (CVPR). Long Beach, CA, USA: IEEE Press, 2019:5332-5340.
[8] YANG Jia, CHAN Cheekooi, LUXIMON Ameersing. A survey on 3D human body modeling for interactive fashion design[J]. International Journal of Image and Graphics, 2013. DOI: 10.1142/S0219467813500216.
doi: 10.1142/S0219467813500216
[9] 杨允出, 陈敏之, 邹奉元. 基于三维扫描数据的女性体型特征参数分析[J]. 纺织学报, 2009, 30(8):117-122.
YANG Yunchu, CHEN Minzhi, ZOU Fengyuan. Female body shape parameters analysis based on 3-D scan data[J]. Journal of Textile Research, 2009, 30(8):117-122.
[10] SUN Jie, CAI Qianyun, LI Tao, et al. Body shape classification and block optimization based on space vector length[J]. International Journal of Clothing Science and Technology, 2019, 31(1):115-129.
doi: 10.1108/IJCST-07-2018-0089
[11] 杨一品. 基于大数据集的人体语义参数化建模和体型估计[D]. 南京: 南京大学, 2015:1-25.
YANG Yipin. Semantic parametric reshaping and shape estimation of human body based on a large-scale data-set[D]. Nanjing: Nanjing University, 2015:1-25.
[12] 秦可, 庄越挺, 吴飞. 服装CAD中三维人体模型的参数化研究[J]. 计算机辅助设计与图形学学报, 2004, 16(7):918-922.
QIN Ke, ZHUANG Yueting, WU Fei. Parameterizing 3D human model in garment CAD[J]. Journal of Computer-Aided Design & Computer Graphics, 2004, 16(7):918-922.
[13] 黄海峤, 莫碧贤, 郭绮莲, 等. B样条曲线和三角面片的整合与智能人体模型开发[J]. 西安工程大学学报, 2009, 23(2):429-434.
HUANG Haiqiao, MO Bixian, GUO Qilian, et al. Intelligent manneque in reconstruction based on piecewise B-spline curve and triangle meshes[J]. Journal of Xi'an Polytechnic University, 2009, 23(2):429-434.
[14] GERARD Pons-moll, JAVIER Romero, NAUREEN Mahmood, et al. Dyna: a model of dynamic human shape in motion[J]. ACM Transactions on Graphics, 2015, 34(4) :120.
[15] MATTHEW Loper, NAUREEN Mahmood, JAVIER Romero, et al. SMPL: a skinned multi-person linear model[J]. ACM Transactions on Graphics, 2015, 34(6):248.
[16] MARIN1Y R, MELZI1Y S, RODOLÀ E, et al. FARM: functional automatic registration method for 3D human bodies[J]. Computer Graphics Forum, 2019, 39(1):160-173.
doi: 10.1111/cgf.13751
[17] 孙瑜亮, 缪永伟, 鲍陈, 等. 基于全局配准累积误差极小的人体RGB-D数据三维重建[J]. 计算机辅助设计与图形学学报, 2019, 31(9):1467-1476.
SUN Yuliang, MIAO Yongwei, BAO Chen, et al. Global registration cumulative error minimization based 3D human body reconstruction using RGB-D scanning data[J]. Journal of Computer-Aided Design & Computer Graphics, 2019, 31(9):1467-1476.
[18] 姚怡, 马静, 吴欢. 基于小波系数的青年女性体型分类及原型纸样[J]. 纺织学报, 2017, 38(12):119-123.
YAO Yi, MA Jing, WU Huan. Young female body shape classification and prototype patterns based on wavelet coefficient[J]. Journal of Textile Research, 2017, 38(12):119-123.
[19] 王朝晖, 吴雨曦, 杨敏. 基于三维测量数据的个性化女装原型样板生成[J]. 纺织学报, 2019, 40(9):143-149.
WANG Zhaohui, WU Yuxi, YANG Min. Development of personalized female prototype based on three-dimensional measurement data[J]. Journal of Textile Research, 2019, 40(9):143-149.
[20] 刘肖, 邓咏梅, 陈金广. 男衬衫一片袖款式图到纸样图的转换方法[J]. 纺织学报, 2016, 37(3):119-126.
LIU Xiao, DENG Yongmei, CHEN Jinguang. Transformation from style to pattern for men's shirt with one-piece sleeve[J]. Journal of Textile Research, 2016, 37(3):119-126.
[21] 叶勤文, 张皋鹏. 基于 Auto CAD 参数化的个性化服装纸样生成[J]. 纺织学报, 2019, 40(4): 103-109.
YE Qinwen, ZHANG Gaopeng. Generation of personalized garment pattern based on AutoCAD parameterization[J]. Journal of Textile Research, 2019, 40(4): 103-109.
[22] 黄海峤, 王英男. 基于可展曲面的3D服装原型建模与服装样板生成[J]. 东华大学学报(自然科学版), 2011, 37(6):720-726.
HUANG Haiqiao, WANG Yingnan. Developable surface-based 3D prototype garment development and pattern generation[J]. Journal of Donghua Uuiver-sity(Natural Science), 2011, 37(6):720-726.
[23] ZHUANG Meiling. A novel apparel surface flattening algorithm[J]. International Journal of Clothing Science and Technology, 2013, 25(4):300-316.
doi: 10.1108/09556221311326329
[24] ZHANG Jun, INNAMI Noriaki, KIM Kyoungok, et al. Upper garment 3D modeling for pattern making[J]. International Journal of Clothing Science and Technology 2015, 27(6):852-869.
doi: 10.1108/IJCST-01-2015-0003
[25] ABU Sadat M S. Resizable outerwear templates for virtual design and pattern flattening[D]. Manchester: The University of Manchester, 2012:117-118.
[26] ZHANG Yunbo, WANG Charlie CL. WireWarping++: robust and flexible surface flattening with length con-trol[J]. IEEE Transactions on Automation Science and Engineering, 2011, 8(1):205-215.
doi: 10.1109/TASE.2010.2051665
[27] ARIC Bartle, ALLA Sheffer, KIM Vladimir G, et al. Physics-driven pattern adjustment for direct 3D garment editing[J]. ACM Transactions on Graphics, 2016, 35(4):50.
[28] OLGA Sorkine, MARC Alexa. As-rigid-as-possible surface modeling[C]// Proceedings of the 5th Eurographics Symposium on Geometry Processing, Barcelona, Spain:Eurographics Press, 2007: 109-116.
[29] LI Jituo, ZHANG Dongliang, LU Guodong, et al. Flattening triangulated surfaces using a mass-spring model[J]. The International Journal of Advanced Manufacturing Technology, 2005, 25(1/2):108-117.
doi: 10.1007/s00170-003-1818-4
[30] 熊能. 世界经典服装设计与纸样:5男装篇[M]. 南昌: 江西美术出版社, 2009:87.
XIONG Neng. World classic fashion design and pattern: 5 Men's wear[M]. Nanchang: Jiangxi Art Press, 2009:87.
[1] LIU Xueyan, JIANG Gaoming. Size prediction of knitted sports pressure socks based on ABAQUS [J]. Journal of Textile Research, 2022, 43(06): 79-85.
[2] ZHANG Yijie, LI Tao, LÜ Yexin, DU Lei, ZOU Fengyuan. Progress in garment ease design and its modeling methods [J]. Journal of Textile Research, 2021, 42(04): 184-190.
[3] ZHANG Lingli, ZHANG Gaopeng. Parametric flat pattern design for clothing based on MatLab [J]. Journal of Textile Research, 2019, 40(01): 130-135.
[4] . Deformation simulation of double jacquard fabric with mass-spring model [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(01): 146-151.
[5] . Research on CAD flexible model for pattern design of four-piece female suit [J]. Journal of Textile Research, 2015, 36(06): 97-105.
[6] SONG Hongxing;LI Zhong;NI Hui;GAO Jun;PENG Chensong. Size information extraction from 3-D body based on approximate shortest paths [J]. JOURNAL OF TEXTILE RESEARCH, 2011, 32(3): 138-142.
[7] LIU Jun;LI Zhong;HU Jueliang. 3D clothing fitting research based on feature matching [J]. JOURNAL OF TEXTILE RESEARCH, 2009, 30(01): 122-126.
[8] WANG Zhan;ZHANG Hui;ZHAO Yuling. Modeling and exhibition technique in 3-D garment CAD [J]. JOURNAL OF TEXTILE RESEARCH, 2008, 29(4): 91-94.
[9] XIU Yi;LI Changfeng. Cloth 3-D simulation based on the mass-rod model [J]. JOURNAL OF TEXTILE RESEARCH, 2007, 28(10): 112-116.
[10] ZHANG Xiao-qian;GU Xin-jian;XU Yuan-yuan. Discussion on the ASP mode for the information technology of the textile and garment industry [J]. JOURNAL OF TEXTILE RESEARCH, 2006, 27(9): 114-117.
[11] WANG Hong-fu;LIN Yi. Study on the curve modification of garment pattern CAD [J]. JOURNAL OF TEXTILE RESEARCH, 2006, 27(4): 53-55.
[12] WU Zhi-ming;WANG Peng. Applying the aspect orient mannequin modeling to garment CAD [J]. JOURNAL OF TEXTILE RESEARCH, 2006, 27(3): 47-51.
[13] LIU Yan;LIU Xiao-gang . Fashion-design expert system facing unprofessional customer [J]. JOURNAL OF TEXTILE RESEARCH, 2005, 26(1): 67-69.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备14006648号
Copyright 2021 © Editorial office of Journal of Textile Research
Supported by Beijing Magtech Co.Ltd