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dc.contributor.authorDlesk , Adam
dc.contributor.authorVach , Karel
dc.contributor.authorPavelka , Karel
dc.date.accessioned2021-03-10T15:36:40Z
dc.date.available2021-03-10T15:36:40Z
dc.date.issued2020
dc.identifier.citationActa Polytechnica. 2020, vol. 60, no. 4, p. 288-302.
dc.identifier.issn1210-2709 (print)
dc.identifier.issn1805-2363 (online)
dc.identifier.urihttp://hdl.handle.net/10467/93794
dc.description.abstractSfM processing of archived analogue images gives an opportunity to efficiently create new and valuable 2D and 3D results. The SfM processing of digitized analogue images brings some challenges. How to digitize negatives of photogrammetric images? What scanning resolution is the most beneficial for processing? How to preprocess the digitized images to be able to process them using the SfM method? What accuracy of results is possible to expect? This paper tries to deal with all these questions. For this paper, 7 negatives of former photogrammetric documentation of a vault were chosen. The negatives were captured by Rollei 3003 metric camera in 1999. Two pieces of software were chosen for the SfM processing. A commercial alternative Agisoft PhotoScan and free open-source alternative MicMac. The results of the SfM processing were compared to the results of an original photogrammetric method, which was used for former processing in 1999.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherČeské vysoké učení technické v Prazecs
dc.publisherCzech Technical University in Pragueen
dc.relation.ispartofseriesActa Polytechnica
dc.relation.urihttps://ojs.cvut.cz/ojs/index.php/ap/article/view/6431
dc.rightsCreative Commons Attribution 4.0 International Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleSTRUCTURE FROM MOTION PROCESSING OF ANALOGUE IMAGES CAPTURED BY ROLLEI METRIC CAMERA, DIGITIZED WITH VARIOUS SCANNING RESOLUTION
dc.typearticleen
dc.date.updated2021-03-10T15:36:40Z
dc.identifier.doi10.14311/AP.2020.60.0288
dc.rights.accessopenAccess
dc.type.statusPeer-reviewed
dc.type.versionpublishedVersion


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Creative Commons Attribution 4.0 International License
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