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Authors: Daniel Carlos Guimarães Pedronette and Ricardo da S. Torres

Affiliation: University of Campinas (Unicamp), Brazil

Keyword(s): Shape Description, Content-based image retrieval, Distance optimization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Feature Extraction ; Features Extraction ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing ; Surface Geometry and Shape

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.

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Paper citation in several formats:
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 (VISIGRAPP 2010) - Volume 2: VISAPP; ISBN 978-989-674-029-0; ISSN 2184-4321, SciTePress, pages 197-202. DOI: 10.5220/0002837201970202

@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 (VISIGRAPP 2010) - Volume 2: VISAPP},
year={2010},
pages={197-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002837201970202},
isbn={978-989-674-029-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP
TI - SHAPE RETRIEVAL USING CONTOUR FEATURES AND DISTANCE OPTIMIZATION
SN - 978-989-674-029-0
IS - 2184-4321
AU - Carlos Guimarães Pedronette, D.
AU - da S. Torres, R.
PY - 2010
SP - 197
EP - 202
DO - 10.5220/0002837201970202
PB - SciTePress

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