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Authors: Jacek Kustra 1 ; Andrei Jalba 2 and Alexandru Telea 3

Affiliations: 1 Philips Research and University of Groningen, Netherlands ; 2 Eindhoven University of Techology, Netherlands ; 3 University of Groningen, Netherlands

Keyword(s): Dental Cast Analysis, Surface Segmentation, Medial Axes.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Medical Image Applications ; Segmentation and Grouping

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.

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Paper citation in several formats:
Kustra, J.; Jalba, A. and Telea, A. (2014). Shape Segmentation using Medial Point Clouds with Applications to Dental Cast Analysis. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP; ISBN 978-989-758-009-3; ISSN 2184-4321, SciTePress, pages 162-170. DOI: 10.5220/0004688301620170

@conference{visapp14,
author={Jacek Kustra. and Andrei Jalba. and Alexandru Telea.},
title={Shape Segmentation using Medial Point Clouds with Applications to Dental Cast Analysis},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP},
year={2014},
pages={162-170},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004688301620170},
isbn={978-989-758-009-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP
TI - Shape Segmentation using Medial Point Clouds with Applications to Dental Cast Analysis
SN - 978-989-758-009-3
IS - 2184-4321
AU - Kustra, J.
AU - Jalba, A.
AU - Telea, A.
PY - 2014
SP - 162
EP - 170
DO - 10.5220/0004688301620170
PB - SciTePress