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Authors: Leonardo Chang 1 ; Miguel Arias-Estrada 2 ; L. Enrique Sucar 2 and José Hernández-Palancar 3

Affiliations: 1 Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) and Advanced Technologies Application Center (CENATAV), Mexico ; 2 Instituto Nacional de Astrofísica and Óptica y Electrónica (INAOE), Mexico ; 3 Advanced Technologies Application Center (CENATAV), Cuba

Keyword(s): Shape Matching, Invariant Shape Features, Shape Occlusion.

Related Ontology Subjects/Areas/Topics: Applications ; Object Recognition ; Pattern Recognition ; Shape Representation ; Software Engineering

Abstract: In this work an invariant shape features extraction, description and matching method (LISF) for binary images is proposed. In order to balance the discriminative power and the robustness to noise and occlusion in the contour, local features are extracted from contour to describe shape, which are later matched globally. The proposed extraction, description and matching methods are invariant to rotation, translation, and scale and present certain robustness to partial occlusion. Its invariability and robustness are validated by the performed experiments in shape retrieval and classification tasks. Experiments were carried out in the Shape99, Shape216, and MPEG-7 datasets, where different artifacts were artificially added to obtain partial occlusion as high as 60%. For the highest occlusion levels the proposed method outperformed other popular shape description methods, with about 20% higher bull’s eye score and 25% higher accuracy in classification.

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Paper citation in several formats:
Chang, L.; Arias-Estrada, M.; Sucar, L. and Hernández-Palancar, J. (2014). LISF: An Invariant Local Shape Features Descriptor Robust to Occlusion. In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-018-5; ISSN 2184-4313, SciTePress, pages 429-437. DOI: 10.5220/0004825504290437

@conference{icpram14,
author={Leonardo Chang. and Miguel Arias{-}Estrada. and L. Enrique Sucar. and José Hernández{-}Palancar.},
title={LISF: An Invariant Local Shape Features Descriptor Robust to Occlusion},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2014},
pages={429-437},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004825504290437},
isbn={978-989-758-018-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - LISF: An Invariant Local Shape Features Descriptor Robust to Occlusion
SN - 978-989-758-018-5
IS - 2184-4313
AU - Chang, L.
AU - Arias-Estrada, M.
AU - Sucar, L.
AU - Hernández-Palancar, J.
PY - 2014
SP - 429
EP - 437
DO - 10.5220/0004825504290437
PB - SciTePress