Trousers Size For Women Aged 18-25 Based On 3D Human Data Body Type Study

The main content of this study is to study the body shape of women’s pants based on three human body data.This paper uses Martin measurement data and three-dimensional body scan data to extract the lower body body data of 197 female college students aged 18-25,and SPSS statistics Analyze and classify the female lower body data to obtain four body types.Combine the body types to classify the pants.According to the three-dimensional scan data,the coordinates of the feature points are extracted,and a three-dimensional three-dimensional pants size system is established in combination with the pants size.The main research contents of this article include:(1)Understand the current research status of body type and size classification,and the size standards used at home and abroad.(2)Analysis of human body shape characteristics: Martin measurement and three-dimensional body measurement were performed on the subject,and measurement index data related to female lower body shape were collected.SPSS software was used to analyze female lower body shape measurement data to classify female lower body shape.(3)Establish a three-dimensional three-dimensional female pants size system: Based on the classified female lower body shape,establish a three-dimensional three-dimensional pants size system to observe the main body size and size coverage.