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Proceedings Paper

Evaluation of shape correspondence using ordinal measures
Author(s): Faouzi Alaya Cheikh; Bogdan Cramariuc; Mari Partio; Pasi Reijonen; Moncef Gabbouj
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Paper Abstract

In this paper we present a novel approach to shape similarity estimation based on ordinal correlation. The proposed method operates in three steps: object alignment, contour to multilevel image transformation and similarity evaluation. This approach is suitable for use in CBIR, shape classification and performance evaluation of segmentation algorithms. The proposed technique produced encouraging results when applied on the MPEG-7 test data.

Paper Details

Date Published: 19 December 2001
PDF: 9 pages
Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); doi: 10.1117/12.451097
Show Author Affiliations
Faouzi Alaya Cheikh, Tampere Univ. of Technology (Finland)
Bogdan Cramariuc, Tampere Univ. of Technology (Finland)
Mari Partio, Tampere Univ. of Technology (Finland)
Pasi Reijonen, Tampere Univ. of Technology (Finland)
Moncef Gabbouj, Tampere Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 4676:
Storage and Retrieval for Media Databases 2002
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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