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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

ISBN: 978-989-758-009-3

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 - Volume 3: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-009-3, 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 - Volume 3: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={162-170},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004688301620170},
isbn={978-989-758-009-3},
}

TY - CONF

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

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