journal article·2019-09

Predicting human dimensions in body images for automatic generation of female pants patterns

Bingfei Gu, Xinhua Li, Yanhong Yan, Junqiang Su

Textile Research Journal· Volume 89· Issue 18
Publisher page

Abstract

This study proposed a method on how to obtain and predict body measurements from frontal and side images of a subject for the individualized pattern generation of women's pants. According to the relationship between front and back patterns and a body torso, 32 important pattern dimensions relevant to certain body dimensions were determined by the graphic flattening method. For the body dimensions (such as perimeters) that could not be directly extracted from the body images, the prediction models were established based on the available width and depth measurements. The body measurements from the body images of 425 subjects were compared with the corresponding manual measurements, which showed a good correlation between the automated and manual measurements. The tried-on test showed that the pants made with the generated patterns demonstrated good fitting effect at the important characteristic landmarks of a participating subject. This method can accelerate the pattern-making process for women's pants based on body measurements, reducing human efforts, costs and production time.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: 3D Shape Modeling and Analysis · Cultural and Historical Studies · Face recognition and analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Fashion Institute, Zhejiang Sci-Tech University, China

Clothing Engineering Research Center of Zhejiang Province, China

Zhejiang Provincial Collaborative Innovation Center of Garment Personalized Customization, China

School of Textile and Clothing, Jiangnan University, China

Funding

2017 education and teaching reform program of Zhejiang Sci-Tech University · Excellent Ph.D. program of Textile Science and Engineering Top Discipline in Zhejiang Sci-Tech University · the Science Foundation of Zhejiang Sci-Tech University · 2018 higher education and science research program of Zhejiang Sci-Tech University · National Natural Science Foundation of China · Natural Science Foundation of Jiangsu Province · Clothing Engineering Research Center of Zhejiang Province · Science and Technology Guiding Project of China National Textile and Apparel Council

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