Publicação: StitchingPHm-A new algorithm for panoramic images
dc.contributor.author | Silva, F. A. | |
dc.contributor.author | Hiraga, A. K. | |
dc.contributor.author | Artero, A. O. [UNESP] | |
dc.contributor.author | Paiva, M. S.V. | |
dc.contributor.institution | Dept. of Computer Science, University of Western São Paulo (Unoeste) | |
dc.contributor.institution | Universidade de São Paulo (USP) | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2018-12-11T16:55:39Z | |
dc.date.available | 2018-12-11T16:55:39Z | |
dc.date.issued | 2014-01-01 | |
dc.description.abstract | In 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.affiliation | Dept. of Computer Science, University of Western São Paulo (Unoeste), Presidente Prudente, São Paulo | |
dc.description.affiliation | Electrical Engineering Department, São Carlos Engineering School (USP), São Carlos, São Paulo | |
dc.description.affiliation | School of Science and Technology, São Paulo State University (Unesp), Presidente Prudente, São Paulo | |
dc.description.affiliationUnesp | School of Science and Technology, São Paulo State University (Unesp), Presidente Prudente, São Paulo | |
dc.format.extent | 41-56 | |
dc.identifier | http://dx.doi.org/10.1134/S1054661814010167 | |
dc.identifier.citation | Pattern Recognition and Image Analysis, v. 24, n. 1, p. 41-56, 2014. | |
dc.identifier.doi | 10.1134/S1054661814010167 | |
dc.identifier.issn | 1555-6212 | |
dc.identifier.issn | 1054-6618 | |
dc.identifier.scopus | 2-s2.0-84897393192 | |
dc.identifier.uri | http://hdl.handle.net/11449/171515 | |
dc.language.iso | eng | |
dc.relation.ispartof | Pattern Recognition and Image Analysis | |
dc.relation.ispartofsjr | 0,241 | |
dc.rights.accessRights | Acesso restrito | |
dc.source | Scopus | |
dc.subject | 360 panorama | |
dc.subject | image adjustment | |
dc.subject | image rectification | |
dc.subject | RANSAC | |
dc.subject | SIFT | |
dc.title | StitchingPHm-A new algorithm for panoramic images | en |
dc.type | Artigo | |
dspace.entity.type | Publication | |
unesp.author.lattes | 6469656882616214[3] | |
unesp.author.orcid | 0000-0001-6824-7251[3] | |
unesp.department | Estatística - FCT | pt |