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Authors: Elisabetta Delponte ; Curzio Basso ; Francesca Odone and Enrico Puppo

Affiliation: University of Genova, Italy

ISBN: 978-989-8111-67-8

Keyword(s): Shape retrieval, Statistical learning, Support Vector Machines.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Fundamental Methods and Algorithms ; Geometry and Modeling

Abstract: In this paper we propose a technique that combines a classification method from the statistical learning literature with a conventional approach to shape retrieval. The idea that we pursue is to improve both results and performance by filtering the database of shapes before retrieval with a shape classifier, which allows us to keep only the shapes belonging to the classes most similar to the query shape. The experimental analysis that we report shows that our approach improves the computational cost in the average case, and leads to better results.

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Paper citation in several formats:
Delponte E.; Basso C.; Odone F.; Puppo E. and (2009). IMPROVING 3D SHAPE RETRIEVAL WITH SVM.In Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2009) ISBN 978-989-8111-67-8, pages 46-51. DOI: 10.5220/0001755400460051

@conference{grapp09,
author={Elisabetta Delponte and Curzio Basso and Francesca Odone and Enrico Puppo},
title={IMPROVING 3D SHAPE RETRIEVAL WITH SVM},
booktitle={Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2009)},
year={2009},
pages={46-51},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001755400460051},
isbn={978-989-8111-67-8},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2009)
TI - IMPROVING 3D SHAPE RETRIEVAL WITH SVM
SN - 978-989-8111-67-8
AU - Delponte, E.
AU - Basso, C.
AU - Odone, F.
AU - Puppo, E.
PY - 2009
SP - 46
EP - 51
DO - 10.5220/0001755400460051

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