摘要
对176名18~25岁青年女性进行三维人体扫描,利用Polyworks软件采集测量三维模型腰臀形态相关的28项尺寸数据,应用SPSS数理统计软件进行数据分析,提取出影响腰臀形态的8个特征参数。通过分析三维模型中腰臀部的形态特征并结合已有文献中腰臀部分类方法,选取腰臀比和臀凸高比为分类指标对样本进行K-means聚类分析,得到9种腰臀部三维模型,为三维虚拟试衣等先进技术提供参考。
This paper carried out three-dimensional human scanning of 176 young women aged 18 ？25 years,and collected 27 size data related to the waist-hip shape of the three-dimensional model by Polyworks software. The data were analyzed by SPSS mathematical statistics software, and 8 characteristic parameters affecting the waist-hip shape were extracted. Two indicators ＂the waist-to-hip ratio＂ and ＂the hip-to-hip ratio＂ were chosen, by analyzing the morphological characteristics of the waist and hip in the three-dimensional model and the related references, to conduct K-means clustering analysis. Nine three-dimensional models were gotten finally. This study could provide some references on certain advanced technology such as three-dimensional virtual fitting.
出处
《服装学报》
CAS
2017年第4期294-300,共7页
Journal of Clothing Research
关键词
三维数据
腰臀部形态
体型分类
three dimensional data,waist-hip shape,size classification
