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3D female upper body modelling based on 2D images

Bingfei Gu (Fashion Institute, Zhejiang Sci-Tech University, Hangzhou, China and Clothing Engineering Research Center of Zhejiang Province, Hangzhou, China)
Md Kawysar Ahmed (Fashion Institute, Zhejiang Sci-Tech University, Hangzhou, China and Clothing Engineering Research Center of Zhejiang Province, Hangzhou, China)
Zejun Zhong (Fashion Institute, Zhejiang Sci-Tech University, Hangzhou, China and Clothing Engineering Research Center of Zhejiang Province, Hangzhou, China)
Juanfeng Jin (Faculty of Clothing and Design, Minjiang University, Fuzhou, Fujian, China) (Engineering Research Center of Textile and Clothing, Minjiang University, Fujian Province University, Fuzhou, China)

International Journal of Clothing Science and Technology

ISSN: 0955-6222

Article publication date: 29 January 2020

Issue publication date: 15 July 2020

209

Abstract

Purpose

With the rapid advancement of computer information technology, the traditional clothing industry has stridden towards automation and digitization that drive the growth of electronic commerce and line retailing. The purpose of this paper is to propose an approach on 3D upper body modelling based on the body measurements extracted by non-contact anthropometry.

Design/methodology/approach

Based on the frontal and side images of the human body, the body sizes were extracted through silhouette extraction, identification of landmarks and girth prediction. The generation rules of 15 characteristic cross-sectional curves were established using a method “feature points – inserted points – feature curves – basic surface – mannequin”. The feature points of each position were determined at each curve, such as the side neck point, front neck point, shoulder point, bust point, and bust root point and so on to get the cross-sections, and then some feature points were inserted at the curves according to the widths and depths to establish the calculative models. For example, there are 18 points distributed at the bust cross-sectional curve to determine the shape.

Findings

The final mannequin could describe the basic characteristics of a human body, and the shape of the feature curves could also fit the body type to provide basis for the future research on automatic pattern generation.

Originality/value

This study can realize the 3D virtual modelling of female upper body and the automatic generation of the individualized apparel patterns based on the frontal and side images.

Keywords

Acknowledgements

This study was supported by National Natural Science Foundation of China (Grant Nos 61702461 and 61702460), Science and Technology Guiding Project of China National Textile and Apparel Council (Grant No. 2018079), Excellent PhD Program of Textile Science and Engineering Top Discipline in Zhejiang Sci-Tech University (Grant No. 2017YBZX14), the Science Foundation of Zhejiang Sci-Tech University (Grant No. 16072195-Y), Clothing Engineering Research Center of Zhejiang Province (Grant No. 2018FZKF08), the Open Project Program of Fujian Province University Engineering Research Center of Textile and Clothing, Minjiang University, China (No. MJFZ18102), the Program of Fuzhou Science and Technology Bureau (No.2018-G-97) and 2018 National innovation and entrepreneurship training program for college students (201810338010).

Citation

Gu, B., Ahmed, M.K., Zhong, Z. and Jin, J. (2020), "3D female upper body modelling based on 2D images", International Journal of Clothing Science and Technology, Vol. 32 No. 4, pp. 471-482. https://doi.org/10.1108/IJCST-03-2019-0042

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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