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Shape matching with occlusion in image databases

Petrakis Evripidis, Aristeidis Diplaros, Evangelos Milios

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URIhttp://purl.tuc.gr/dl/dias/1A1CEEC0-FCCB-4581-959B-AD60154B6D28-
Identifierhttp://www.intelligence.tuc.gr/~petrakis/publications/dipemi01.pdf-
Languageen-
TitleShape matching with occlusion in image databasesen
CreatorPetrakis Evripidisen
CreatorΠετρακης Ευριπιδηςel
CreatorAristeidis Diplarosen
CreatorEvangelos Miliosen
Content SummaryWe propose an approach for matching deformed, occluded and unoccluded shapes using 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. en
Type of ItemΠερίληψη Δημοσίευσης σε Συνέδριοel
Type of ItemConference Paper Abstracten
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-01-
Date of Publication2012-
Bibliographic CitationAristeidis 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.pdfen

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