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Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/14171
DC FieldValueLanguage
dc.contributor.authorSkarlatos, Dimitrios-
dc.date.accessioned2019-06-28T09:43:22Z-
dc.date.available2019-06-28T09:43:22Z-
dc.date.issued2000-
dc.identifier.citationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 2000, vol. 33, pp. 845-849en_US
dc.identifier.issn16821750-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/14171-
dc.descriptionPresented at 19th International Congress for Photogrammetry and Remote Sensing, Amsterdam, Netherlands, 16-23 July, 2000en_US
dc.description.abstractThis paper deals with the least squares matching algorithm, focused on stereo pairs, without the use of epipolar geometry. The least squares matching algorithm although widely used has still some shortcomings, which in certain cases keep it away from commercial production. The shortcomings are the low reliability of the "successful" matches and the automation/adaptation of the algorithm, which has numerous parameters. These problems will be addressed in this paper by introducing a new algorithm for dynamic adaptation of the template size and two new algorithms to enhance accuracy and reliability. Discussion and examples will be presented along with proposals for further work, based on the combination of the three algorithms and the use of epipolar geometry.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesen_US
dc.subjectAlgorithmsen_US
dc.subjectAutomationen_US
dc.subjectImage matchingen_US
dc.subjectQuality controlen_US
dc.subjectSurface reconstructionen_US
dc.titleImage matching towards maturityen_US
dc.typeArticleen_US
dc.collaborationNational Technical University Of Athensen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryGreeceen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.scopus2-s2.0-85045984808-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85045984808-
dc.relation.volume33en_US
cut.common.academicyear1999-2000en_US
dc.identifier.spage845en_US
dc.identifier.epage849en_US
item.openairetypearticle-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.languageiso639-1en-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-2732-4780-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.journal.journalissn1682-1750-
crisitem.journal.publisherInternational Society for Photogrammetry and Remote Sensing-
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