StitchingPHm-A new algorithm for panoramic images

dc.contributorDept. of Computer Science, University of Western São Paulo (Unoeste)
dc.contributorUniversidade de São Paulo (USP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T16:55:39Z
dc.date.available2018-12-11T16:55:39Z
dc.date.created2018-12-11T16:55:39Z
dc.date.issued2014-01-01
dc.identifierPattern Recognition and Image Analysis, v. 24, n. 1, p. 41-56, 2014.
dc.identifier1555-6212
dc.identifier1054-6618
dc.identifierhttp://hdl.handle.net/11449/171515
dc.identifier10.1134/S1054661814010167
dc.identifier2-s2.0-84897393192
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.
dc.languageeng
dc.relationPattern Recognition and Image Analysis
dc.relation0,241
dc.rightsAcesso restrito
dc.sourceScopus
dc.subject360 panorama
dc.subjectimage adjustment
dc.subjectimage rectification
dc.subjectRANSAC
dc.subjectSIFT
dc.titleStitchingPHm-A new algorithm for panoramic images
dc.typeArtículos de revistas


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