A topology-based descriptor for 3D point cloud modeling: Theory and experiments
作者:
Highlights:
• STPP is a global shape descriptor for 3D point cloud data.
• It encodes a topological signature based on the pairing of homology generators.
• STPP can be computed quickly and efficiently, and uses a single tuning parameter.
摘要
•STPP is a global shape descriptor for 3D point cloud data.•It encodes a topological signature based on the pairing of homology generators.•STPP can be computed quickly and efficiently, and uses a single tuning parameter.
论文关键词:Topological data analysis,Persistent homology,Shape analysis,Object classification
论文评审过程:Received 17 June 2018, Revised 13 December 2018, Accepted 15 May 2019, Available online 23 May 2019, Version of Record 15 June 2019.
论文官网地址:https://doi.org/10.1016/j.imavis.2019.05.004