Abstract

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.

Highlights

  • Under the background of the intelligent development of the clothing industry and the trend of personalized clothing consumption, virtual human modelling has become a hotspot in the field of multidisciplinary cross-application research

  • The human body surface feature points are the key information reflecting the differences of human body shapes, and the basic parametric information for subdividing and identifying the human body shape

  • On the method of human body shape measurement, non-contact 3D human body scanning and 2D photo measurement were commonly used for collecting the data by the human body surface features points labelled manually currently

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Summary

Introduction

Under the background of the intelligent development of the clothing industry and the trend of personalized clothing consumption, virtual human modelling has become a hotspot in the field of multidisciplinary cross-application research. The studies on the body local morphology subdivision [3,4] proposed diversified human body morphological parameters based on feature points, as well as the method of morphological information combination for representing the difference of body shape. The two-dimensional human body image is used as a reliable data source for obtaining human body shape feature values [6], describing and identifying important information of the human body shape differences. The extracted structural feature factors were the important references for typical indices selecting 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

Method of measurement data acquisition
Photography and measurement methods
Upper body measurement items
Extraction of upper body features of young women
Upper body data distribution test
Relationship between upper body feature variables
Extraction of principal components of surface morphological features
Findings
Conclusion and future work
Full Text
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