TY  - JOUR
TI  - Pants design and pattern generation based on body images
AU  - Jin, Shou-Ning
AU  - Gu, Bing-Fei
AU  - Zhang, Bei-Bei
AU  - Xia, Yuan-Ping
AU  - He, Hua-Zhou
T2  - Industria Textila
AB  - The personalized pattern generation method based on 2D body-measuring technology has considerable application
potential in clothing e-commerce, remote clothing customization, clothing production, and other aspects. By inputting the
front and side body images, this study proposed a new method of generating personalized patterns automatically. The
silhouettes could be extracted from the body images to estimate body sizes and design style. The basic rules between
the patterns and the body sizes were analysed, and the rules of the general pattern generation were established through
a knowledge-based combination of the basic pattern and the style parameters. The sizes extracted from images were
compared with the manually measured values, and the errors of these sizes were analysed. Sample pants were made
and tried on with the automatic pattern generation system, and the experiments showed that the sample pants have a
good fit at some key landmarks. As a result, this system can automatically generate personalized patterns and style
designs based on 2D human body images, to improve garment fit and accelerate clothing customization.
DA  - 2023/02/28/
PY  - 2023
DO  - 10.35530/IT.074.01.20223
DP  - DOI.org (Crossref)
VL  - 74
IS  - 01
SP  - 74
EP  - 80
SN  - 12225347
UR  - http://revistaindustriatextila.ro/images/2023/1/010%20SHOU-NING%20JIN%20INDUSTRIA%20TEXTILA%20no.1_2023.pdf
Y2  - 2023/03/02/18:59:21
ER  -