体型分析在观测服装号型适应性上的应用

针对当前国内外缺失观测特定人群的服装号型适应性这一现状，提出以体型分析为基础的服装号型适应性观测方法，通过捕获人体的三维数据，从数据集群中选择服装号型分类变量的主成分，带入我国服装号型标准中进行验证。依据多组K均值聚类分布结果，结合验证后的号型覆盖率和档差关系选取最优K值，观测聚类中心的数值和分布图，描述该样本的服装号型适应性。结果表明：测量对象的差异性对号型分类变量的选取有直接影响，该服装号型适应性观测方法能够得到观测对象的体型发展趋势、服装号型覆盖率和档差调整方案、具体的“号”与“型”对应关系，提高了服装市场调研和生产计划的准确性。

Application of body shape analysis in observation of clothing size adaptability

Considering the situation that effective observation of clothing size in particular groups was absent at home and abroad, observation of clothing size adaptability was proposed based on the body shape analysis. Bytracing 3-D data of the human body, principal component of clothing size classification variables were selected from the data cluster and put into the national clothing size standard forvalidation. According to clustering distribution results of multiple sets of k-means, the optimum K value was selected combining with verified clothing size coverage and variation relationship while the value and distribution of clustering center were observed so as to describe the sample clothing size adaptability. It is demonstrated that the differences between subjects have a direct effect on the selection of size classification variables so that this method can successfully get access to the body shape development trend of subjects, clothing size coverage and variation adjustment scheme as well as the corresponding relationship of size and “shape” so as to improve the accuracy of clothing market research and production plan.