Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10523
Full metadata record
DC FieldValueLanguage
dc.contributor.authorÖzuysal, Mustafa-
dc.date.accessioned2021-01-24T18:45:01Z-
dc.date.available2021-01-24T18:45:01Z-
dc.date.issued2017-
dc.identifier.issn1300-7009-
dc.identifier.issn2147-5881-
dc.identifier.urihttps://doi.org/10.5505/pajes.2017.92604-
dc.identifier.urihttps://hdl.handle.net/11147/10523-
dc.description.abstractIn this paper, an object detection approach suitable for mobile augmented reality is presented. The baseline approach is bused on matching keypoint descriptors and yerin.,ing these matches with geometric constraints. The performance optimizations necessary for speeding up matching are detailed. It is [ifs demonstrated that it is possible to increase the performance of the Locality Sensitive Hashing by exploiting approaches from the information retrieval field.en_US
dc.language.isotren_US
dc.publisherPamukkale Üniversitesien_US
dc.relation.ispartofPamukkale Universitesi Muhendislik Bilimleri Dergisien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectComputer visionen_US
dc.subjectOhject detectionen_US
dc.subjectAugmented realityen_US
dc.subjectLocality sensitive matchingen_US
dc.subjectBinary descriptorsen_US
dc.titleObject detection with BRIEF descriptors and locality sensitive matching for augmented realityen_US
dc.typeArticleen_US
dc.departmentIzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.volume23en_US
dc.identifier.issue5en_US
dc.identifier.startpage588en_US
dc.identifier.endpage596en_US
dc.identifier.wosWOS:000443170500016-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.cont.department-temp[Ozuysal, Mustafa] Izmir Yuksek Teknol Enstitusu, Bilgisayar Muhendisligi Bolumu, Muhendisl Fak, Izmir, Turkeyen_US
dc.identifier.doi10.5505/pajes.2017.92604-
dc.relation.doi10.5505/pajes.2017.92604en_US
dc.coverage.doi10.5505/pajes.2017.92604en_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.languageiso639-1tr-
item.cerifentitytypePublications-
item.grantfulltextnone-
crisitem.author.deptDepartment of Computer Engineering-
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record

CORE Recommender

Page view(s)

36
checked on Oct 20, 2021

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.