Dergi makalesi Açık Erişim
Abaci, Bahri; Akgul, Tayfun
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/80367</identifier> <creators> <creator> <creatorName>Abaci, Bahri</creatorName> <givenName>Bahri</givenName> <familyName>Abaci</familyName> <affiliation>Istanbul Tech Univ, Dept Elect & Commun Engn, TR-34469 Istanbul, Turkey</affiliation> </creator> <creator> <creatorName>Akgul, Tayfun</creatorName> <givenName>Tayfun</givenName> <familyName>Akgul</familyName> <affiliation>Istanbul Tech Univ, Dept Elect & Commun Engn, TR-34469 Istanbul, Turkey</affiliation> </creator> </creators> <titles> <title>Matching Caricatures To Photographs</title> </titles> <publisher>Aperta</publisher> <publicationYear>2015</publicationYear> <dates> <date dateType="Issued">2015-01-01</date> </dates> <resourceType resourceTypeGeneral="Text">Journal article</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/80367</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1007/s11760-015-0819-8</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract">Facial caricatures are informative funny images that allow us to identify a subject even with a few lines and dots. Matching caricatures to photographs is a challenging cross-modal face matching problem. This paper addresses this problem by defining a set of qualitative face features both for caricatures and photographs where features are automatically extracted from photos and manually labeled in caricatures. Additionally we release a publicly available caricature-photograph database with 200 caricatures and corresponding photomates. In our experiments, we use genetic algorithms and logistic regression and achieve over recognition rate at 0.1 false accept rate.</description> </descriptions> </resource>
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