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dc.contributor.authorTommaselli, Antonio Maria Garcia-
dc.contributor.authorTozzi, Clésio Luis-
dc.identifier.citationPhotogrammetric Engineering and Remote Sensing, v. 62, n. 1, p. 57-66, 1996.-
dc.description.abstractAn approach using straight lines as features to solve the photogrammetric space resection problem is presented. An explicit mathematical model relating straight lines, in both object and image space, is used. Based on this model, Kalman Filtering is applied to solve the space resection problem. The recursive property of the filter is used in an iterative process which uses the sequentially estimated camera location parameters to feedback to the feature extraction process in the image. This feedback process leads to a gradual reduction of the image space for feature searching, and consequently eliminates the bottleneck due to the high computational cost of the image segmentation phase. It also enables feature extraction and the determination of feature correspondence in image and object space in an automatic way, i.e., without operator interference. Results obtained from simulated and real data show that highly accurate space resection parameters are obtained as well as a progressive processing time reduction. The obtained accuracy, the automatic correspondence process, and the short related processing time show that the proposed approach can be used in many real-time machine vision systems, making possible the implementation of applications not feasible until now.en
dc.subjectfeature extraction-
dc.subjectrecursive filtering-
dc.subjectspace resection-
dc.titleA recursive approach to space resection using straight linesen
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)-
dc.description.affiliationDepartamento de Cartografia Universidade Estadual Paulista, Rua Roberto Simonsen, 305, Sao Paulo-
dc.description.affiliationDepto. Engenharia da Comp. A. Faculdade de Engenharia Elet. Universidade Estadual de Campinas, C.P. 6101, 13081-970 Campinas, São Paulo-
dc.description.affiliationUnespDepartamento de Cartografia Universidade Estadual Paulista, Rua Roberto Simonsen, 305, Sao Paulo-
dc.rights.accessRightsAcesso aberto-
dc.relation.ispartofPhotogrammetric Engineering and Remote Sensing-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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