Co-registration of surfaces by 3D least squares matching

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dc.authorid0000-0002-1510-8677
dc.contributor.authorAkça, Mehmet Devrimen_US
dc.date.accessioned2015-01-15T23:01:36Z
dc.date.available2015-01-15T23:01:36Z
dc.date.issued2010-03
dc.departmentIşık Üniversitesi, Fen Edebiyat Fakültesi, Enformasyon Teknolojileri Bölümüen_US
dc.departmentIşık University, Faculty of Arts and Sciences, Department of Information Technologiesen_US
dc.description.abstractA method for the automatic co-registration of 3D surfaces is presented. Die method utilizes the mathematical model of Least Squares 2D image matching and extends it for solving the 3D surface matching problem The transformation parameters of the search surfaces are estimated with respect to a template surface. The solution is achieved when the sum of the squares of the 3D Spatial (Euclidean) distances between the surfaces are minimized. The parameter estimation is achieved using the Generalized Gauss-Markov model. Execution level implementation details are given. Apart from the co-registration of the point clouds generated from spacaborne airborne and terrestinal sensors and techniques. the proposed method is also useful for change detection, 3D comparison, and quality assessment tasks Experiments, terrain data examples show file capabilities of the method.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationAkça, M. D. (2010). Co-registration of surfaces by 3D least squares matching. Photogrammetric Engineering and Remote Sensing, 76(3), 307-318, doi:10.14358/PERS.76.3.307en_US
dc.identifier.doi10.14358/PERS.76.3.307
dc.identifier.endpage318
dc.identifier.issn0099-1112
dc.identifier.issn2374-8079
dc.identifier.issue3
dc.identifier.scopus2-s2.0-77949810782
dc.identifier.scopusqualityQ3
dc.identifier.startpage307
dc.identifier.urihttps://hdl.handle.net/11729/375
dc.identifier.urihttp://dx.doi.org/10.14358/PERS.76.3.307
dc.identifier.volume76
dc.identifier.wosWOS:000275355300011
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorAkça, Mehmet Devrimen_US
dc.institutionauthorid0000-0002-1510-8677
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherAmer Soc Photogrammetryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPhotogrammetryen_US
dc.subjectModelsen_US
dc.subjectConvolutionen_US
dc.subjectRailroadsen_US
dc.subjectImage matchingen_US
dc.subjectEstimationen_US
dc.subjectMarkov processesen_US
dc.subjectParameter estimationen_US
dc.subjectChange detectionen_US
dc.subjectCoregistrationen_US
dc.subjectExecution levelen_US
dc.subjectGauss-Markov modelsen_US
dc.subjectLeast-squares matchingen_US
dc.subjectQuality assessmenten_US
dc.subjectTemplate surfacesen_US
dc.subjectTransformation parametersen_US
dc.subjectCloud coveren_US
dc.subjectEstimation methoden_US
dc.subjectExperimental studyen_US
dc.subjectGaussian methoden_US
dc.subjectNumerical modelen_US
dc.subjectParameterizationen_US
dc.subjectThree-dimensional modelingen_US
dc.titleCo-registration of surfaces by 3D least squares matchingen_US
dc.typeArticleen_US
dspace.entity.typePublication

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