一种基于扩散几何的非刚体三维形状分割方法
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  • 英文篇名:A Non-rigid 3D Shape Segmentation Approach Based on Diffusion Geometry
  • 作者:苏梦 ; 万丽莉 ; 苗振江
  • 英文作者:Su Meng;Wan Lili;Miao Zhenjiang;Institute of Information Science,Beijing Jiaotong University;Beijing Key Laboratory of Advanced Information Science and Network Technology;State Key Laboratory of Virtual Reality Technology and Systems,Beihang University;
  • 关键词:三维形状分割 ; 网格分割 ; 非刚体 ; 扩散几何 ; K-均值聚类
  • 英文关键词:3D shape segmentation;;mesh segmentation;;non-rigid object;;diffusion geometry;;K-means clustering
  • 中文刊名:JSJF
  • 英文刊名:Journal of Computer-Aided Design & Computer Graphics
  • 机构:北京交通大学计算机与信息技术学院信息科学研究所;北京交通大学现代信息科学与网络技术北京市重点实验室;北京航空航天大学虚拟现实技术与系统国家重点实验室;
  • 出版日期:2015-04-15
  • 出版单位:计算机辅助设计与图形学学报
  • 年:2015
  • 期:v.27
  • 基金:中央高校基本科研业务费专项资金(2014JBM027)
  • 语种:中文;
  • 页:JSJF201504006
  • 页数:9
  • CN:04
  • ISSN:11-2925/TP
  • 分类号:49-57
摘要
三维形状分割是三维形状分析中的一个重要问题.为了使分割结果能适应非刚体丰富的姿态变化,提出一种基于扩散几何的三维网格分割方法.该方法采用波核特征的局部极值点作为非刚体网格模型表面的显著特征点;进而将显著特征点作为初始聚类中心,采用K-均值聚类算法来获得分割结果.实验结果表明,文中方法不仅对处于不同姿态的非刚体三维形状具有良好的分割一致性,而且对噪声、孔洞等具有较好的鲁棒性.
        3D shape segmentation is an important problem in 3D shape analysis.In order to get consistency results under various shape changes of a non-rigid object,this paper presents a non-rigid 3D shape segmentation approach based on diffusion geometry.First,the vertices with local extremes of wave kernel signature(WKS) are taken as critical points.Then,taking these critical points as the initial cluster centers,K-means clustering approach is applied to get the segmentation results.The extensive experiments show that the proposed approach can get consistent segmentation results for a non-rigid 3D object under various postures,and is robust to noises and holes as well.
引文
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