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dc.contributor.authorHast, Anders
dc.contributor.authorSablina, Victoria A.
dc.contributor.authorKylberg, Gustaf
dc.contributor.authorSintorn, Ida-Maria
dc.contributor.editorSkala, Václav
dc.contributor.editorGavrilova, Marina
dc.date.accessioned2018-03-21T09:53:20Z-
dc.date.available2018-03-21T09:53:20Z-
dc.date.issued2015
dc.identifier.citationWSCG 2015: full papers proceedings: 23rd International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 135-142.en
dc.identifier.isbn978-80-86943-65-7 (print)
dc.identifier.isbn978-80-86943-61-9 (CD-ROM)
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD-ROM)
dc.identifier.uriwscg.zcu.cz/WSCG2015/CSRN-2501.pdf
dc.identifier.urihttp://hdl.handle.net/11025/29435
dc.description.abstractA very simple but efficient feature descriptor is proposed for image matching/registration applications where invariance is not important. The descriptor length is only three times the height of the local region in which the descriptor is calculated, and experiments were conducted to compare it to the SURF descriptor. In addition, it is shown, how the sampling can be modified in order to obtain a rotation invariant descriptor, while still keeping it simple and efficient. Examples from stitching in microscopy and stereo processing of pairs of photographs are given to prove the concept.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG 2015: full papers proceedingsen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectdeskriptor funkcícs
dc.subjectnebližší odpovídající sousedcs
dc.subjectrotační invariancecs
dc.subjectSURFcs
dc.subjectdetektor zájmových bodůcs
dc.titleA simple and efficient feature descriptor for fast matchingen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedfeature descriptoren
dc.subject.translatednearest neighbour matchingen
dc.subject.translatedrotation invarianceen
dc.subject.translatedSURFen
dc.subject.translatedinterest point detectoren
dc.type.statusPeer-revieweden
Appears in Collections:WSCG 2015: Full Papers Proceedings

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