A Visibility Graph based Shape Decomposition Technique
Foteini Fotopoulou, Emmanouil Z. Psarakis
2014
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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in Harvard Style
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 - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 515-522. DOI: 10.5220/0004692005150522
in Bibtex Style
@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 - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={515-522},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004692005150522},
isbn={978-989-758-003-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - A Visibility Graph based Shape Decomposition Technique
SN - 978-989-758-003-1
AU - Fotopoulou F.
AU - Z. Psarakis E.
PY - 2014
SP - 515
EP - 522
DO - 10.5220/0004692005150522