scholarly journals Structural feature factors extraction of upper body shape for young female

2021 ◽  
Vol 237 ◽  
pp. 01024
Author(s):  
Yujie Ren ◽  
Hongshu Jin
Keyword(s):  
Structural Feature ◽  
Body Surface ◽  
Human Body ◽  
Body Shape ◽  
Surface Feature ◽  
Upper Body ◽  
Feature Points ◽  
Young Females ◽  
Principle Component ◽  
Body Shapes

Human body shape feature points are the key information and basic unit for human body model we are constructing, which performance the difference of body shapes. The purpose of the study is to extract the structural feature factors related to the upper body surface feature points for young females. The 12 feature points of upper body surface were manually confirmed from anthropometric expertise. A total of 31 measurements items, including 3 body surface measurement and 28 photo measurement, were collected for 33 females college students According to the results of correlation analysis, the feature variables of the width, thickness and height dimension based on 12 feature points significantly respectively correlated to the variables of their coordinate orientation, furthermore, the correlated relationship which reflected the width and height features of neck and shoulders shape mainly affected by local skeletal structures. Then, four principle component factors account for upper body shapes of young females, such as width, thickness, height and shoulder shape with characteristic value all over 1, were extracted by the principal component analysis, and the cumulative contribution rate reached 87.387%. Therefore, a total of 8 feature variables sifted from each principle component factor with a loading coefficient over 0.7 as fundamental typical indicators represent the three-dimensional characteristics of body surface feature points reflecting the divergence of body shapes, and it is useful structural information for individual human body modelling.

scholarly journals 3D Personalized Human Modeling and Deformation Technology for Garment CAD

2020 ◽  
Vol 18 (S3) ◽  
pp. 23-33
Author(s):  
Qi Jia ◽  
Kun Tian
Keyword(s):  
Human Body ◽  
Body Shape ◽  
Flow Characteristics ◽  
Human Model ◽  
Feature Points ◽  
Human Body Model ◽  
Size Change ◽  
Cad System ◽  
Feature Lines ◽  
Human Modeling

According to the design requirements of garment CAD system, this paper summarizes and analyzes the flow, characteristics and existing problems of existing human modeling algorithms, and proposes a 3D human modeling method based on section ring calculation, and realizes the dynamic modeling of human body driven by joint points. Firstly, the human body shape is classified to create a 3D human body shape template library. On the basis of extracting feature points and feature lines of the human model, the relationship between the size change and the feature points is calculated by using simple linear scaling ratio. Through the mathematical modeling of chest curve, waist hip curve and longitudinal datum line, the fitting curve results which reflect the curve characteristics and are convenient for subsequent clothing deformation are obtained. The algorithm is simple and efficient. It can not only accurately reproduce the surface static characteristics of the original scanned human body, but also change the dynamic characteristics of the human body interactively, which can meet the basic requirements of the human body model in the process of fashion design.

Body shape classification and block optimization based on space vector length

2019 ◽  
Vol 31 (1) ◽  
pp. 115-129
Author(s):  
Jie Sun ◽  
Qianyun Cai ◽  
Tao Li ◽  
Lei Du ◽  
Fengyuan Zou
Keyword(s):  
Cross Section ◽  
Human Body ◽  
Body Shape ◽  
The Body ◽  
Upper Body ◽  
Shape Classification ◽  
Content Type ◽  
Vector Length ◽  
Space Vectors ◽  
Three Body

PurposeConsidering two-dimensional features in the body shape classification system cannot fully reflect the three-dimensional (3D) morphological characteristics of human body. The purpose of this paper is to propose a 3D feature based method to characterize and classify the upper body shape of women, and then obtained the corresponding garment block and improved the fitness of clothing.Design/methodology/approachIn this study, the [TC]23D scanner was used to obtain human data, and 15 layers of cross-sections of young females’ upper body were extracted. In total, 240 space vectors were obtained with the center of the bust cross-section as the original point. By using the principal component analysis and K-means clustering analysis, the body shape classification based on the space vectors length was realized. The garment block corresponding to three body types was obtained using the 3D scanning data and the cross-section convex hull, and compared with existing garment block and evaluated fitness of the blocks.FindingsIn total, 11 main components used to characterize the 3D morphological features of young women were obtained, which could explain 95.28 percent features of young women’s upper body. By cluster analysis, the body shape of women was divided into three categories. The block of three body types was obtained by the construction of the convex hull model.Originality/valueThis paper investigates a classification method of the body shape based on space vector length, which can effectively reflect the difference of surface shape of human body and further improve the matching degree of human body and clothing.

scholarly journals Anthropometry and Size Groups in the Clothing Industry

2020 ◽  
Vol 20 (1) ◽  
pp. 56-62
Author(s):  
Monika Balach ◽  
Marzanna Lesiakowska-Jablonska ◽  
Iwona Frydrych
Keyword(s):  
Human Body ◽  
Human Population ◽  
Body Shape ◽  
Apparel Industry ◽  
The Body ◽  
Clothing Industry ◽  
Size Groups ◽  
Body Shapes ◽  
Modal Group

AbstractIt appears that from generation to generation the anthropometric dimensions of the human population are changing. The aim of this paper was to examine the extent of these changes and the need for generating updated measurements for the clothing industry. The clothing industry uses mannequins and avatars to represent the modal group of the population. The industry tends to use three different categories for the human body shape (endomorphic, mesomorphic, and ectomorphic). The clothing industry should focus on specific measurements of the body rather than general categories and create more body shapes to satisfy customer needs. The paper also aimed at showing the problems faced by clothing designers. The traditional way of measuring takes into account only selected dimensions of the human body; this does not reflect the “true” overall body shape. The dimension tables used by the apparel industry are based on the fourth anthropometric photograph taken between 1987 and 1989. These tables are still in the use currently; however, after 30 years they are outdated and should be revised for the young contemporary generation. This study can be used for the development of new dimension tables as well as defining methods aimed at improving the quality of measurements for clothing engineering purposes. This is an important issue, because the National Institute of Anthropometry does not deal with such problems (the measurements are conducted mainly for understanding the human body shape rather than any other application), which means that anthropometric measurements are not ideally suited to applications of clothes fitting.

Classification analysis of young female students’ waist–abdomen–hip based on body photos

2021 ◽  
Vol 91 (11-12) ◽  
pp. 1409-1418
Author(s):  
Xiaoyu Cai ◽  
Bingfei Gu ◽  
Huazhou He
Keyword(s):  
Human Body ◽  
Body Shape ◽  
Three Dimensional ◽  
3D Scanning ◽  
Young Female ◽  
The Body ◽  
Practical Significance ◽  
Main Body ◽  
Body Type ◽  
Young Females

To improve body-type classification research and personalized clothing, this study adopted a research method of “three-dimensional (3D) scanning + photos” for the body-shape classification of young females’ waist–abdomen–hip. A total of 178 female college students were recruited for manual, photo and 3D body measurement to get the main body information. Based on the data acquired from 3D scanning, the corresponding heights, angles and other parameters of the waist, abdomen and hip were selected and used to analyze the human body in two respects of shape and height. Then the body-shape indexes and the height indexes were respectively analyzed, and 16 shape characteristic indicators and four height characteristic parameters affecting the waist, abdomen and hip were extracted. Three types in shape and two types in height were obtained, and the main classification rules of the waist–abdomen–hip shape were also concluded to identify the body type based on the body measurements extracted from body photos, which realized the automatic body-type identification based on body photos. It was of great practical significance to provide a basis for personalized customization of fast clothing and the subdivision of the human body shape, which could meet the individual customer’s requirements.

scholarly journals A Comparative Study on Fabric Efficiencies for Different Human Body Shapes in the Apparel Industry

2019 ◽  
Vol 19 (2) ◽  
pp. 104-118 ◽  
Author(s):  
Tayyab Naveed ◽  
Azmat Hussain ◽  
Aijaz Ahmed Babar ◽  
Awais Naeem ◽  
Hassan Mussana ◽  
...  
Keyword(s):  
Comparative Study ◽  
Human Body ◽  
Body Shape ◽  
Cost Effective ◽  
P Value ◽  
Apparel Manufacturing ◽  
Body Shapes ◽  
The Comparative Study ◽  
Garment Manufacturing ◽  
Marker Efficiency

Abstract In the apparel manufacturing, fabric utilization always remains the significant apprehensions in controlling the production expenditure. Alteration in pattern shapes and marker preparation leads to the enormous utilization of fabric. The purpose of this research is to study fabric efficiency in correspondence with four different human body shapes in both genders. Two clothing styles, fitted trousers and fitted shirts, were processed conventionally in the garment manufacturing company. The comparative study of auto-marker and manual-marker making through Garment Gerber Technology (GGT) software were also accomplished. The evaluation of fabric consumptions, marker efficiency, marker loss, fabric loss, and fabric cost relevant to four different body shapes was analyzed for both women and men. The investigation carried out in this article concludes that there are differences in fabric consumptions, efficiencies, and cost-effectiveness relative to body shapes. The result revealed that the manualmarker of trousers for triangular body shape in women’s wears has the least fabric consumption (most cost-effective), whereas the shirt’s auto-marker for an oval body shape in men’s wears has the most fabric utilization (least costeffective). The manual-virtual-marker making is efficient (significant p-value) than auto-generated-markers. Also, fabric utilization for women’s garments is cost-effective than that for men. Trousers are cost-effective compared to the shirts.

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