A Visibility Graph based Shape Decomposition Technique

Foteini Fotopoulou; Emmanouil Z. Psarakis

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Paper

A Visibility Graph based Shape Decomposition Technique

Topics: Segmentation and Grouping; Shape Representation and Matching

In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 515-522, 2014 , Lisbon, Portugal

Authors: Foteini Fotopoulou and Emmanouil Z. Psarakis

Affiliation: University of Patras, Greece

Keyword(s): Shape Decomposition, Visibility Graph, Shared Neighbors.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping ; Shape Representation and Matching

Abstract: In this paper, a new shape decomposition method named Visibility Shape Decomposition (VSD) is presented. Inspired from an idealization of the visibility matrix having a block diagonal form, the definition of a neighborhood based visibility graph is proposed and a two step iterative algorithm for its transformation into a block diagonal form, that can be used for a visually meaningful decomposition of the candidate shape, is presented. Although the proposed technique is applied to shapes of the MPEG7 database, it can be extended to 3D objects. The preliminary results we have obtained are promising.

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Paper citation in several formats:

Fotopoulou, F. and Z. Psarakis, E. (2014). A Visibility Graph based Shape Decomposition Technique. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP; ISBN 978-989-758-003-1; ISSN 2184-4321, SciTePress, pages 515-522. DOI: 10.5220/0004692005150522

@conference{visapp14,
author={Foteini Fotopoulou. and Emmanouil {Z. Psarakis}.},
title={A Visibility Graph based Shape Decomposition Technique},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP},
year={2014},
pages={515-522},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004692005150522},
isbn={978-989-758-003-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP
TI - A Visibility Graph based Shape Decomposition Technique
SN - 978-989-758-003-1
IS - 2184-4321
AU - Fotopoulou, F.
AU - Z. Psarakis, E.
PY - 2014
SP - 515
EP - 522
DO - 10.5220/0004692005150522
PB - SciTePress