19 December 2001 Evaluation of shape correspondence using ordinal measures
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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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Faouzi Alaya Cheikh, Faouzi Alaya Cheikh, Bogdan Cramariuc, Bogdan Cramariuc, Mari Partio, Mari Partio, Pasi Reijonen, Pasi Reijonen, Moncef Gabbouj, Moncef Gabbouj, } "Evaluation of shape correspondence using ordinal measures", Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); doi: 10.1117/12.451097; https://doi.org/10.1117/12.451097


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