Image Stitching Using Non-Extensive Statistics

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dc.contributor.authorCARDOSO, E.
dc.contributor.authorRISCH, H. A.
dc.contributor.authorLAHERAS, L. P.
dc.contributor.authorLUIZ, V.
dc.contributor.authorRODRIGUES, P. S.
dc.contributor.authorGuilherme Lopes
dc.contributor.authorOrcidhttps://orcid.org/0000-0003-0873-3236
dc.date.accessioned2022-01-12T21:56:12Z
dc.date.available2022-01-12T21:56:12Z
dc.date.issued2019-09-05
dc.description.abstract© 2019 IEEE.Nowadays there are different ways to make image stitching with help of Fiducial Point Descriptors (FPD), whose find the matches between images for an application, such as SIFT and calculates the homography with RANSAC. However, by finding the right match when we have images on differents points of view could be difficult. This paper introduces the application of q-SFT, a newest variation of SFT in a stitch algorithm, that can recognize large viewpoint changes called as LVC.
dc.description.firstpage84
dc.description.lastpage88
dc.identifier.citationCARDOSO, E.; RISCH, H. A.; LAHERAS, L. P.; LUIZ, V.; RODRIGUES, P. S.; LOPES, G. Image Stitching Using Non-Extensive Statistics. Proceedings - 15th Workshop of Computer Vision, WVC 2019, p. 84-88, sept. 2019.
dc.identifier.doi10.1109/WVC.2019.8876939
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3708
dc.relation.ispartofProceedings - 15th Workshop of Computer Vision, WVC 2019
dc.rightsAcesso Restrito
dc.subject.otherlanguageimage stitching
dc.subject.otherlanguageq-SIFT
dc.subject.otherlanguageSFT
dc.subject.otherlanguagestitching
dc.subject.otherlanguagestitching algorithm
dc.titleImage Stitching Using Non-Extensive Statistics
dc.typeArtigo de evento
fei.scopus.citations1
fei.scopus.eid2-s2.0-85074897799
fei.scopus.subjectFiducial points
fei.scopus.subjectHomographies
fei.scopus.subjectImage stitching
fei.scopus.subjectNonextensive statistics
fei.scopus.subjectq-SIFT
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074897799&origin=inward
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