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External Verification of the Bundle Adjustment in Photogrammetric Software Using the Damped Bundle Adjustment Toolbox
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-7657-6917
INSA Strasbourg, France. (ICube Laboratory UMR 7357, Photogrammetry and Geomatics Group)
2016 (English)In: XXIII ISPRS Congress, Commission V: Volume XLI-B5 / [ed] L. Halounova, V. Šafář, F. Remondino, J. Hodač, K. Pavelka, M. Shortis, F. Rinaudo, M. Scaioni, J. Boehm, and D. Rieke-Zapp, International Society of Photogrammetry and Remote Sensing , 2016, Vol. XLI-B5, 7-14 p.Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this paper is to investigate whether the Matlab-based Damped Bundle Adjustment Toolbox (DBAT) can be used to provide independent verification of the BA computation of two popular software—PhotoModeler (PM) and PhotoScan (PS).

For frame camera data sets with lens distortion, DBAT is able to reprocess and replicate subsets of PM results with high accuracy. For lens-distortion-free data sets, DBAT can furthermore provide comparative results between PM and PS. Data sets for the discussed projects are available from the authors.

The use of an external verification tool such as DBAT will enable users to get an independent verification of the computations of their software. In addition, DBAT can provide computation of quality parameters such as estimated standard deviations, correlation between parameters, etc., something that should be part of best practice for any photogrammetric software. Finally, as the code is free and open-source, users can add computations of their own.

Place, publisher, year, edition, pages
International Society of Photogrammetry and Remote Sensing , 2016. Vol. XLI-B5, 7-14 p.
Series
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 2194-9034 ; XLI
Keyword [en]
Software, Bundle adjustment, Accuracy, Quality, Best practice, Distortion, Data sets
National Category
Computer and Information Science Mathematics
Research subject
Computer and Information Science; Computerized Image Analysis
Identifiers
URN: urn:nbn:se:umu:diva-122706DOI: 10.5194/isprs-archives-XLI-B5-7-2016OAI: oai:DiVA.org:umu-122706DiVA: diva2:940654
Conference
ISPRS 2016 Congress, 12–19 July 2016, Prague, Czech Republic
Available from: 2016-06-21 Created: 2016-06-21 Last updated: 2016-08-03Bibliographically approved

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Börlin, Niclas

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