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Shape matching with occlusion in image databases

Petrakis Evripidis, Aristeidis Diplaros, Evangelos Milios

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URI: http://purl.tuc.gr/dl/dias/1A1CEEC0-FCCB-4581-959B-AD60154B6D28
Year 2012
Type of Item Conference Paper Abstract
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Bibliographic Citation Aristeidis Diplaros, Euripides G.M. Petrakis and Evangelos Milios. (2001, Sep.) Shape Matching with Occlusion in Image Databases. Presented at Infotech Oulou Intern. Workshop on Information Retrieval (IR'2001). [Online]. Available: http://www.intelligence.tuc.gr/~petrakis/publications/dipemi01.pdf
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Summary

We propose an approach for matching deformed, occluded and unoccluded shapesusing Dynamic Programming (DP). We distinguish among various cases of matching including cases where the shapes are scaled with respect to each other or cases where one shape matches the whole or only a part of the other shape. Our approach handles noise and shape distortions by allowing matching of merged sequences of consecutive small segments in a shape, with larger segments of another shape, while being invariant to translation, scale orientation and starting point selection. We demonstrate the superiority of our approach over traditional approaches to shape matching and retrieval based on Fourier descriptors and moments.

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