SHAPE RETRIEVAL USING CONTOUR FEATURES AND DISTANCE OPTIMIZATION

Daniel Carlos Guimarães Pedronette, Ricardo da S. Torres

Abstract

This paper presents a shape descriptor based on a set of features computed for each point of an object contour. We also present an algorithm for distance optimization based on the similarity among ranked lists. Experiments were conducted on two well-known data sets: MPEG-7 and Kimia. Experimental results demonstrate that the combination of the two methods is very effective and yields better results than recently proposed shape descriptors.

References

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Paper Citation


in Harvard Style

Carlos Guimarães Pedronette D. and da S. Torres R. (2010). SHAPE RETRIEVAL USING CONTOUR FEATURES AND DISTANCE OPTIMIZATION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 197-202. DOI: 10.5220/0002837201970202


in Bibtex Style

@conference{visapp10,
author={Daniel Carlos Guimarães Pedronette and Ricardo da S. Torres},
title={SHAPE RETRIEVAL USING CONTOUR FEATURES AND DISTANCE OPTIMIZATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={197-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002837201970202},
isbn={978-989-674-029-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - SHAPE RETRIEVAL USING CONTOUR FEATURES AND DISTANCE OPTIMIZATION
SN - 978-989-674-029-0
AU - Carlos Guimarães Pedronette D.
AU - da S. Torres R.
PY - 2010
SP - 197
EP - 202
DO - 10.5220/0002837201970202