Research On The Classification Of Young Women's Body Based On 3D Scanning

To achieve the ultimate goal of the network clothing customization,using the clothing netw ork customization research to obtain 17 characteristic indicators,using the data analysis of body previous studies to obtain the 19 human characteristic indicators,and then outputting the 36 calc ulative proj ects.100 young women aged 18-25 were scanned three-dimensionally and 280 valid human bod y data were obtained by rapidform XOR3,a reverse engineering software.Six factors were extra cted from factor analysis to describe the morphology of the human body,including "fat and thin factor","height factor","lower body form factor","upper body form factor" and "scale of body h eight factor",the cumulative contribution rate of variance is 81.67%,and the characteristic index with high load factor in the extraction factor is taken as the representative index to classify the b ody type.Two methods are used to classify the human body:stratification and clustering.Finally,acc ording to the characteristics of height,BL and HL,the differences of the thoracolumbar and abdo minal circumferences as a clustering indicator classifies them into 8 body types by the K-Means clustering method.