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Authors: Saliha Aouat and Slimane Larabi

Affiliation: University of Sciences and Technology – Houari Boumediene, Algeria

ISBN: 978-989-8565-03-7

Keyword(s): Textual Descriptors, Noise, Similarity Measures, Indexing, Recognition, Quasi-invariants, Parts Areas.

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

Abstract: In this paper, we propose a new method to recognize silhouettes of objects. Models of silhouettes are stored in the database using their textual descriptors. Textual Descriptors are written following the part-based method published in (Larabi et al, 2003). The main issue with the textual description is its sensitiveness to noise, in order to overcome this issue, we have applied (Aouat and Larabi, 2010) a convolution to initial outline shape with a Gaussian filter at different scales. The approach was very interesting for shape matching and indexing (Aouat and Larabi, 2009), but unfortunately it is not appropriate to the recognition process because there is no use of similarity measures in order to select the best model for a query silhouette. In this paper, we compute parts areas and geometric quasi-invariants to find the best model for the given query; they are efficient similarity measures to perform the recognition process.

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Paper citation in several formats:
Aouat, S. and Larabi, S. (2012). ACCURATE SIMILARITY MEASURES FOR SILHOUETTES RECOGNITION.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 397-400. DOI: 10.5220/0003815303970400

@conference{visapp12,
author={Saliha Aouat. and Slimane Larabi.},
title={ACCURATE SIMILARITY MEASURES FOR SILHOUETTES RECOGNITION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={397-400},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003815303970400},
isbn={978-989-8565-03-7},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - ACCURATE SIMILARITY MEASURES FOR SILHOUETTES RECOGNITION
SN - 978-989-8565-03-7
AU - Aouat, S.
AU - Larabi, S.
PY - 2012
SP - 397
EP - 400
DO - 10.5220/0003815303970400

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