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Publicação:
StitchingPHm-A new algorithm for panoramic images

dc.contributor.authorSilva, F. A.
dc.contributor.authorHiraga, A. K.
dc.contributor.authorArtero, A. O. [UNESP]
dc.contributor.authorPaiva, M. S.V.
dc.contributor.institutionDept. of Computer Science, University of Western São Paulo (Unoeste)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T16:55:39Z
dc.date.available2018-12-11T16:55:39Z
dc.date.issued2014-01-01
dc.description.abstractIn this paper it is presented a new algorithm for the construction of panoramic images (including 360 panoramas), which has as main characteristic to avoid the distortion that occurs by joining of several successive images in a sequence. We used the SIFT and RANSAC algorithms to find overlap areas between pairs of images, as well as a Blend algorithm for smoothing the joints. As the proposed algorithm doesn't cause distortions, the subsequent correction is not necessary, contributing to a better performance. The results of experiments using commercial software and also the proposed algorithm were compared through a visual analysis. In addition, a quantitative analysis was done using numeric measures calculated on a panoramic image, generated from an image sequence of a region mapped and georeferenced by Google Earth. © 2014 Pleiades Publishing, Ltd.en
dc.description.affiliationDept. of Computer Science, University of Western São Paulo (Unoeste), Presidente Prudente, São Paulo
dc.description.affiliationElectrical Engineering Department, São Carlos Engineering School (USP), São Carlos, São Paulo
dc.description.affiliationSchool of Science and Technology, São Paulo State University (Unesp), Presidente Prudente, São Paulo
dc.description.affiliationUnespSchool of Science and Technology, São Paulo State University (Unesp), Presidente Prudente, São Paulo
dc.format.extent41-56
dc.identifierhttp://dx.doi.org/10.1134/S1054661814010167
dc.identifier.citationPattern Recognition and Image Analysis, v. 24, n. 1, p. 41-56, 2014.
dc.identifier.doi10.1134/S1054661814010167
dc.identifier.issn1555-6212
dc.identifier.issn1054-6618
dc.identifier.scopus2-s2.0-84897393192
dc.identifier.urihttp://hdl.handle.net/11449/171515
dc.language.isoeng
dc.relation.ispartofPattern Recognition and Image Analysis
dc.relation.ispartofsjr0,241
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subject360 panorama
dc.subjectimage adjustment
dc.subjectimage rectification
dc.subjectRANSAC
dc.subjectSIFT
dc.titleStitchingPHm-A new algorithm for panoramic imagesen
dc.typeArtigo
dspace.entity.typePublication
unesp.author.lattes6469656882616214[3]
unesp.author.orcid0000-0001-6824-7251[3]
unesp.departmentEstatística - FCTpt

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