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dc.contributor.authorÖzdil, Ahmet
dc.contributor.authorOzhilen, Metin Mete
dc.date.accessioned2023-08-01T09:08:31Z
dc.date.available2023-08-01T09:08:31Z
dc.date.issued2014en_US
dc.identifier.isbn978-1-4799-4120-9
dc.identifier.issn2378-8232
dc.identifier.issn2472-8586
dc.identifier.otherWOS:000392725100057
dc.identifier.urihttps://doi.org/10.1109/ICAICT.2014.7035956
dc.identifier.urihttps://hdl.handle.net/20.500.12573/1671
dc.description.abstractThe identification of a face from a video or image source is a study of computer vision know as face detection or recognition. Face detection and recognition becomes popular in recent years by the development of computing power. In this study we will present performance aspect of algorithms Eigenfaces, Fisherfaces, and Local Binary Pattern Histograms in different development platforms: Arm and Intel processors.en_US
dc.description.sponsorshipMinistry of Science, Industry and Technology Turkiye 0370.STZ.2013-2en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/ICAICT.2014.7035956en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEmbeddeden_US
dc.subjectFace Recognitionen_US
dc.subjectEigenfacesen_US
dc.subjectFisherfaceen_US
dc.subjectLBPHen_US
dc.titleA Survey on Comparison of Face Recognition Algorithmsen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.contributor.authorID0000-0002-6651-1968en_US
dc.contributor.institutionauthorÖzdil, Ahmet
dc.identifier.startpage249en_US
dc.identifier.endpage251en_US
dc.relation.journal2014 IEEE 8TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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