Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/3823
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dc.contributor.authorAslan S.-
dc.contributor.authorAkgül C.B.-
dc.contributor.authorSankur B.-
dc.contributor.authorTunalı, Turhan-
dc.date.accessioned2023-06-16T15:04:29Z-
dc.date.available2023-06-16T15:04:29Z-
dc.date.issued2015-
dc.identifier.isbn9.7899E+12-
dc.identifier.urihttps://doi.org/10.5220/0005361802660271-
dc.identifier.urihttps://hdl.handle.net/20.500.14365/3823-
dc.descriptionInstitute for Systems and Technologies of Information, Control and Communication (INSTICC)en_US
dc.description10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 -- 11 March 2015 through 14 March 2015 -- 112690en_US
dc.description.abstractWe propose a new local image descriptor named SymPaD for image understanding. SymPaD is a probability vector associated with a given image pixel and represents the attachment of the pixel to a previously designed shape repertoire. As such the approach is model-driven. The SymPad descriptor is illumination and rotation invariant, and extremely flexible on extending the repertoire with any parametrically generated geometrical shapes and any desired additional transformation types. Copyright © 2015 SCITEPRESS - Science and Technology Publications All rights reserved.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.subjectImage featureen_US
dc.subjectImage understandingen_US
dc.subjectModel-driven visual dictionaryen_US
dc.subjectObject recognitionen_US
dc.subjectPrimitive structures of natural imagesen_US
dc.subjectImage understandingen_US
dc.subjectMathematical transformationsen_US
dc.subjectObject recognitionen_US
dc.subjectGeometrical shapesen_US
dc.subjectImage featuresen_US
dc.subjectLocal image descriptorsen_US
dc.subjectNatural imagesen_US
dc.subjectProbability vectoren_US
dc.subjectRotation invarianten_US
dc.subjectTransformation typesen_US
dc.subjectVisual dictionariesen_US
dc.subjectPixelsen_US
dc.titleSymPaD: Symbolic patch descriptoren_US
dc.typeConference Objecten_US
dc.identifier.doi10.5220/0005361802660271-
dc.identifier.scopus2-s2.0-84939554100en_US
dc.authorscopusid36658064200-
dc.authorscopusid7003845878-
dc.authorscopusid6603530790-
dc.identifier.volume1en_US
dc.identifier.startpage266en_US
dc.identifier.endpage271en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityN/A-
dc.identifier.wosqualityN/A-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairetypeConference Object-
crisitem.author.dept05.05. Computer Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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