Title
Shape segmentation using medial point clouds with applications to dental cast analysis
Abstract
We present an automatic surface segmentation method for dental cast scans based on the point density properties of the surface skeleton of such shapes. We produce quasi-flat segments separated by soft ridges, in contrast to classical surface segmentation methods that require sharp ridges. We compute the surface skeleton by a fast 3D skeletonization technique followed by its regularization using surface geodesics. We segment the resulting skeleton by a mean-shift approach and transfer the segmentation results back to the surface. We demonstrate our results on an industrial dental-cast segmentation application and several generic 3D shape models.
Year
Venue
Keywords
2014
2014 International Conference on Computer Vision Theory and Applications (VISAPP)
Dental Cast Analysis,Surface Segmentation,Medial Axes
Field
DocType
Volume
Surface reconstruction,Computer vision,Pattern recognition,Segmentation,Computer science,Ridge,Image segmentation,Regularization (mathematics),Skeletonization,Artificial intelligence,Point cloud,Geodesic
Conference
3
Citations 
PageRank 
References 
2
0.36
25
Authors
3
Name
Order
Citations
PageRank
Jacek Kustra1363.59
Andrei Jalba2987.67
Alexandru Telea31520107.14