Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5949
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dc.contributor.authorBoluk, S. A.-
dc.contributor.authorDemirci, Muhammed Fatih-
dc.date.accessioned2021-09-11T15:20:58Z-
dc.date.available2021-09-11T15:20:58Z-
dc.date.issued2015en_US
dc.identifier.citation10th International Conference on Computer Vision Theory and Applications, VISAPP 2015, 11 March 2015 through 14 March 2015, , 112690en_US
dc.identifier.isbn9789897580901-
dc.identifier.urihttps://doi.org/10.5220/0005300503530359-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5949-
dc.description.abstractIn recent decades, the need for efficient and effective image search from large databases has increased. In this paper, we present a novel shape matching framework based on structures that are likely to exist in similar shapes. After representing shapes as medial axis graphs, where vertices show skeletons and edges connect nearby skeletons, we determine the branches connecting or representing shape's different parts. Using the shortest path distance from each vertex (skeleton) to each of the branches, we effectively retrieve similar shapes to the given query through a transportation-based distance function. A set of shape retrieval experiments including the comparison with two previous approaches demonstrate the proposed algorithm's effectiveness and perturbation experiments present its robustness.en_US
dc.description.sponsorshipInstitute for Systems and Technologies of Information, Control and Communication (INSTICC)en_US
dc.language.isoenen_US
dc.publisherSciTePressen_US
dc.relation.ispartofVISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedingsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEarth mover's distanceen_US
dc.subjectMedial axis graphen_US
dc.subjectShape matchingen_US
dc.subjectShape retrievalen_US
dc.titleShape Classification Based on Skeleton-Branch Distancesen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.volume2en_US
dc.identifier.startpage353en_US
dc.identifier.endpage359en_US
dc.identifier.scopus2-s2.0-84939510584en_US
dc.institutionauthorDemirci, Muhammed Fatih-
dc.identifier.doi10.5220/0005300503530359-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference10th International Conference on Computer Vision Theory and Applications, VISAPP 2015en_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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