Object Detection With Brief Descriptors and Locality Sensitive Matching for Augmented Reality

dc.contributor.author Özuysal, Mustafa
dc.coverage.doi 10.5505/pajes.2017.92604
dc.date.accessioned 2021-01-24T18:45:01Z
dc.date.available 2021-01-24T18:45:01Z
dc.date.issued 2017
dc.description.abstract In 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.identifier.doi 10.5505/pajes.2017.92604 en_US
dc.identifier.issn 1300-7009
dc.identifier.issn 2147-5881
dc.identifier.uri https://doi.org/10.5505/pajes.2017.92604
dc.identifier.uri https://hdl.handle.net/11147/10523
dc.language.iso tr en_US
dc.publisher Pamukkale Üniversitesi en_US
dc.relation.ispartof Pamukkale Universitesi Muhendislik Bilimleri Dergisi en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Computer vision en_US
dc.subject Ohject detection en_US
dc.subject Augmented reality en_US
dc.subject Locality sensitive matching en_US
dc.subject Binary descriptors en_US
dc.title Object Detection With Brief Descriptors and Locality Sensitive Matching for Augmented Reality en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Özuysal, Mustafa
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
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gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Computer Engineering en_US
gdc.description.departmenttemp [Ozuysal, Mustafa] Izmir Yuksek Teknol Enstitusu, Bilgisayar Muhendisligi Bolumu, Muhendisl Fak, Izmir, Turkey en_US
gdc.description.endpage 596 en_US
gdc.description.issue 5 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 588 en_US
gdc.description.volume 23 en_US
gdc.description.wosquality Q3
gdc.identifier.openalex W2766477115
gdc.identifier.wos WOS:000443170500016
gdc.index.type WoS
gdc.oaire.accesstype GOLD
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gdc.oaire.impulse 0.0
gdc.oaire.influence 2.635068E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Binary descriptors
gdc.oaire.keywords Computer vision
gdc.oaire.keywords Augmented reality
gdc.oaire.keywords Ohject detection
gdc.oaire.keywords Locality sensitive matching
gdc.oaire.popularity 1.12126E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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