Research on Young Females' Body Classification Based on SVM

Abstract

Young females’s data in Jiangsu and Zhejiang areas are acquired by using 3D Body Scanner made by American TC2. Then according to the four parts of body shape character, we can classify human data into different kinds of women’s body types. In the process, SVM(support vector machine) model is used to identify the young women’s shape. The results show that SVM is an effective identified and classified method due to short time and high precision. The reference data can be provided for the garment pattern design of young females’s apparel.