Full metadata record
DC FieldValueLanguage
dc.contributor.authorHorta, Agnus Azevedo
dc.contributor.authorMagalhães, Léo Pini
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-05-07T06:39:36Z-
dc.date.available2019-05-07T06:39:36Z-
dc.date.issued2018
dc.identifier.citationJournal of WSCG. 2018, vol. 26, no. 1, p. 41-47.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.uriwscg.zcu.cz/WSCG2018/!_2018_Journal_WSCG-No-1.pdf
dc.identifier.urihttp://hdl.handle.net/11025/34587
dc.format7 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectidentifkace tetovánícs
dc.subjectSIFTcs
dc.subjectASIFTcs
dc.subjectBOVcs
dc.subjectFisherovy vektorycs
dc.subjectoptimální klasifikátor lesních cestcs
dc.subjectpodpora vektorového strojecs
dc.subjectměkká biometriecs
dc.subjectnačítání obrázků na základě obsahucs
dc.titleComparing the performance and accuracy of algorithms applied to tattoos images identificationen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis article presents results of the simulation of SIFT based algorithms in the context of the identification of tattoos. The algorithms studied are the SIFT - Scale Invariant Feature Transform, ASIFT - Affine SIFT, BOV - Bag of Visual Words and FV - Fisher Vector. The use of the OPF - Optimum-Path Forest and SVM - Support Vector Machine classifiers is exploited in conjunction with SIFT and ASIFT algorithms as well as BOV and FV. The present study uses the National Institute of Standards and Technology (NIST) Tatt-C dataset in a reduced and complete version. This work uses runtime and accuracy to compare the results of the simulations.en
dc.subject.translatedtattoo identificationen
dc.subject.translatedSIFTen
dc.subject.translatedASIFTen
dc.subject.translatedBOVen
dc.subject.translatedFisher vectorsen
dc.subject.translatedoptimum-path forest classifieren
dc.subject.translatedsupport vector machinesen
dc.subject.translatedsoft biometricen
dc.subject.translatedcontent-based image retrievalen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2018.26.1.5
dc.type.statusPeer-revieweden
Appears in Collections:Volume 26, Number 1 (2018)

Files in This Item:
File Description SizeFormat 
Horta.pdfPlný text6,17 MBAdobe PDFView/Open


Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/34587

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