Segmentation of 3D Meshes Using p-Spectral Clustering.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 26353348.
- Also identified by DOI 10.1109/TPAMI.2013.2297314.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
In this paper, we propose a new approach to get the optimal segmentation of a 3D mesh as a human can perceive using the minima rule and spectral clustering. This method is fully unsupervised and provides a hierarchical segmentation via recursive cuts. We introduce a new concept of the adjacency matrix based on cognitive studies. We also introduce the use of one-spectral clustering which leads to the optimal Cheeger cut value.
Medical subject headings
- Imaging, Three-Dimensional