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	基于形状的三维头面型聚类分析
	钮建伟 ; 李志忠 ; NIU Jian-wei ; LI Zhi-zhong
	2010-06-08 ; 2010-06-08
关键词	工程仿生学 三维人头数据 聚类分析 号型划分 产品适配性 engineering bionics three dimensional head data clustering sizing fitting E939 TP391.72
其他题名	Shape-Based 3D Head Data Clustering
中文摘要	传统的号型划分方法不能很好反映人体表面形状的特点,无法很好地满足头盔等适配性要求较高的产品设计需要。三维人体数据携带丰富的人体表面形状信息,采用三维人体数据建立的号型系统将有助于解决上述问题。以447个人头样本为例,提出基于块划分的形状差异描述方式,采用k-means聚类算法对基于块距离的矢量形式下的人头样本进行形状分组,并与最新国军标推荐的采用头宽长指数、头高长指数作为关键参数进行头型划分的结果进行了对比分析。结果表明,二者存在明显差异,表明将来修改标准时可参考本文方法尽量考虑形状上的差异。; Shape characteristics of human body surface are not well reflected in traditional sizing method.This lowers fitting satisfaction level of wearing items which require close fitting contact with human body surface,such as helmets.It is helpful to solving the above problem that the sizing system is established by three-dimensional(3D) anthropomentric data,which carry abundant information of human body surface shape.Taking 447 3D head samples as example,the method describing shape different was proposed by block-distance-based vector;shape grouping of the samples was performed by the method and the k-means clustering algorithm;the grouped results were compared and analyzed with those of a Chinese national military standard of 3D head-face dimensions of male soldiers based on head breadth-length index and head height-length index.The compared results show that the obvious differences exist between the two methods,the proposed method can provide a reference for modifying the standard.; 国家自然科学基金资助项目(70571045)
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/47560]
专题	清华大学
推荐引用方式 GB/T 7714	钮建伟,李志忠,NIU Jian-wei,等. 基于形状的三维头面型聚类分析[J],2010, 2010.
APA	钮建伟,李志忠,NIU Jian-wei,&LI Zhi-zhong.(2010).基于形状的三维头面型聚类分析..
MLA	钮建伟,et al."基于形状的三维头面型聚类分析".(2010).

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