Robust Keypoint Matching for Three Dimensional Scenes and Object Recognition
| dc.contributor.author | Koksal, Ali | |
| dc.contributor.author | Uzyildirim, Furkan Eren | |
| dc.contributor.author | Ozuysal, Mustafa | |
| dc.date.accessioned | 2017-10-31T11:53:12Z | |
| dc.date.available | 2017-10-31T11:53:12Z | |
| dc.date.issued | 2017 | |
| dc.description | Ozuysal, Mustafa/0000-0003-0257-6882; | en_US |
| dc.description.abstract | In this paper, we adapt a recently proposed keypoint matching approach for binary descriptors and planar objects to three dimensional objects. We also evaluate the performance of this approach for a museum object recognition application containing more than one hundred paintings. Moreover, we quantify the effect of selecting only descriptors with high matching ratio on the success rate of the object recognition application. | en_US |
| dc.identifier.citation | Köksal, A., Uzyıldırım, F. E., and Özuysal, M. (2017, May 15-18). Üç boyutlu sahneler ve nesne tanıma için gürbüz anahtar nokta eşleştirilmesi. Paper presented at the Üç boyutlu sahneler ve nesne tanıma için gürbüz anahtar nokta eşleştirilmesi. doi:10.1109/SIU.2017.7960609 | en_US |
| dc.identifier.doi | 10.1109/SIU.2017.7960609 | |
| dc.identifier.doi | 10.1109/SIU.2017.7960609 | en_US |
| dc.identifier.isbn | 9781509064946 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.scopus | 2-s2.0-85026319539 | |
| dc.identifier.uri | http://doi.org/10.1109/SIU.2017.7960609 | |
| dc.identifier.uri | https://hdl.handle.net/11147/6431 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | 25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY | en_US |
| dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Computer Vision | en_US |
| dc.subject | Object Recognition | en_US |
| dc.subject | Binary Descriptors | en_US |
| dc.subject | Keypoint Matching | en_US |
| dc.title | Robust Keypoint Matching for Three Dimensional Scenes and Object Recognition | en_US |
| dc.title.alternative | Üç Boyutlu Sahneler ve Nesne Tanıma için Gürbüz Anahtar Nokta Eşleştirilmesi | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Ozuysal, Mustafa/0000-0003-0257-6882 | |
| gdc.author.id | Ozuysal, Mustafa / 0000-0003-0257-6882 | en_US |
| gdc.author.wosid | Ozuysal, Mustafa/Hja-6011-2022 | |
| gdc.author.wosid | Koksal, Ali/Kff-5608-2024 | |
| gdc.bip.impulseclass | C5 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C5 | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::conference output | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | İzmir Institute of Technology. Computer Engineering | en_US |
| gdc.description.departmenttemp | [Koksal, Ali; Uzyildirim, Furkan Eren; Ozuysal, Mustafa] Izmir Yuksek Teknol Enstitusu, Bilgisayar Muhendisligi Bolumu, Izmir, Turkey | en_US |
| gdc.description.endpage | 4 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.startpage | 1 | |
| gdc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
| gdc.description.wosquality | N/A | |
| gdc.identifier.openalex | W2732153138 | |
| gdc.identifier.wos | WOS:000413813100472 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 0.0 | |
| gdc.oaire.influence | 2.635068E-9 | |
| gdc.oaire.isgreen | false | |
| gdc.oaire.popularity | 1.12126E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 03 medical and health sciences | |
| gdc.oaire.sciencefields | 0302 clinical medicine | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.openalex.collaboration | National | |
| gdc.openalex.fwci | 0.0 | |
| gdc.openalex.normalizedpercentile | 0.08 | |
| gdc.opencitations.count | 0 | |
| gdc.plumx.mendeley | 2 | |
| gdc.plumx.scopuscites | 0 | |
| gdc.scopus.citedcount | 0 | |
| gdc.wos.citedcount | 0 | |
| relation.isAuthorOfPublication.latestForDiscovery | fb8c924f-e7d9-4043-b3f5-5fc9f0fd3f99 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 9af2b05f-28ac-4014-8abe-a4dfe192da5e |
