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基于三维点云数据的虚拟人台模型的构建
引用本文:李白,李雪飞,刘正东.基于三维点云数据的虚拟人台模型的构建[J].北京服装学院学报,2008,28(1):7-12.
作者姓名:李白  李雪飞  刘正东
作者单位:北京服装学院计算机信息中心,北京100029
摘    要:针对实际人体三维扫描点云数据的特征,根据数据点坐标差值大小提取出每个高度层上的关键点,利用简化的Delaunay三角平面划分算法,将这些关键点构造成三角平面,并制作出OBJ模型文件,导入常见的三维建模软件后得到人台虚拟模型.实验表明:上述方法处理数据简单、快速.得到的人台模型符合要求,适用于大量人台模型的构建.

关 键 词:关键点提取  三角平面划分  人台模型
文章编号:1001-0564(2008)01-0007-06
收稿时间:2007-10-19
修稿时间:2007年10月19

Development of Mannequins Based on 3D Point Cloud Data
LI Bai,LI Xue-fei,LIU Zheng-dong.Development of Mannequins Based on 3D Point Cloud Data[J].Journal of Beijing Institute of Clothing Technology(Nature Science Edition),2008,28(1):7-12.
Authors:LI Bai  LI Xue-fei  LIU Zheng-dong
Abstract:Key points at different stature based on the cloud points of real human body were extracted according. Triangular planes were constructed from the key points by a simplified algo- rithm of delaunay triangulation and saved into OBJ files. The OBJ files were imported into modeling software to obtain the mannequin. Experiment results showed that the data could be disposed simply and quickly, the obtained mannequin conformed to requirement, and the method was suitable for building a mass of mannequin.
Keywords:key point extraction  triangular planes division  mannequins
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