计算机应用与软件2016，Vol.33Issue(9)：33-37,5.DOI:10.3969/j.issn.1000-386x.2016.09.008
一种基于模型分割的三维人体骨架提取方法
A METHOD FOR EXTRACTING 3D HUMAN BODY SKELETON BASED ON MODEL SEGMENTATION
摘要
Abstract
Aiming at the problems that current 3D skeleton extraction methods are highly complicated,the extraction results are not accurate enough,and few of them are specifically for human body models,we proposed a model segmentation-based 3D human body skeletons extraction method.First,we divided the model into parts according to the minimum geodesic distances between feature points of its vertices and ends.Secondly,we determined the topological hierarchies of each vertex of the model by the normalised geodesic distance function. Thirdly,based on model segmentation we extracted the original skeleton points according to their topological hierarchies.Finally,after some fine tuning,we connected all the skeleton points according to their topological relations and obtained a quite accurate human skeleton. Experimental results showed that the method reduces the complexity of the skeleton extraction algorithms effectively and gets more accurate extraction result for human body models with different postures.关键词
骨架提取/模型分割/测地距离/拓扑层次Key words
Skeleton extraction/Model segmentation/Geodesic distance/Topological hierarchy分类
信息技术与安全科学引用本文复制引用
甘凌云,侯进..一种基于模型分割的三维人体骨架提取方法[J].计算机应用与软件,2016,33(9):33-37,5.基金项目
国家自然科学基金面上项目（61371165）；计算机软件新技术国家重点实验室开放课题基金项目（KFKT2013B22）；浙江大学CAD＆CG国家重点验室开放课题（A1416）。 （）
