基于服装定制的女性人体美预测模型的建立

服装定制是服装工业生产的新趋势,修饰和美化人体是服装定制的基本功能之一。通过对三维人体扫描数据进行回归分析,得到影响人体美的11个重要身体尺寸;以这11个尺寸为基础共选择了15个可反映女性体形特征的主要人体比例。通过对15个主要人体比例的主元分析、二次型分析等建立了人体美预测模型。根据模型,可以定位个体在形体上存在不足的部位,在服装定制时利用服装进行修饰,以到达美化人体的目的,从而为个性化服装设计提供理论基础。

Establishment of female attractiveness rating prediction model based on clothing customization

Clothing customization is a new trend of clothing industry, and beauty body is one of the basic function of custom-made clothes. Using regression analysis of body measurements by 3-D body scanner, eleven body measurements were determinde as the most important cues for body physical attractiveness. On the basis of these eleven body measurmetns, fifteen body proportions express female body shape character istics better were selected. A new prediction model for female attractiveness was established by analyzing these 15 body proportions with principle component analysis, canonical analysis and regression analysis. Based on the prediction model, imperfact body segments were pointed which can be concealed when designing custom clothes. The predict model can provide a rationale for individualilzed design.