一种基于扩散几何的非刚体三维形状分割方法

摘要

3D shape segmentation is an important problem in 3D shape analysis. In order to get consistency re-sults 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 ap-proach 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.%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。