Segmentation of 3D Meshes Using p-Spectral Clustering.
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.
Mohamed
M
Chahhou
Lahcen
L
Moumoun
Mohamed
M
El Far
Taoufiq
T
Gadi
D000465:Algorithms; D016000:Cluster Analysis; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*