2016
DOI: 10.5194/isprsarchives-xli-b5-7-2016
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External Verification of the Bundle Adjustment in Photogrammetric Software Using the Damped Bundle Adjustment Toolbox

Abstract: ABSTRACT: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 proje… Show more

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Cited by 4 publications
(5 citation statements)
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“…The modular technique has previously been used in the Damped Bundle Adjustment Toolbox (DBAT) to model the Photogrammetric and Computer Vision adaptations of the (Brown, 1971) lens distortion models (Börlin and Grussenmeyer, 2016). In this paper, the Photogrammetric pipeline was extended by an affine transformation.…”
Section: Discussionmentioning
confidence: 99%
“…The modular technique has previously been used in the Damped Bundle Adjustment Toolbox (DBAT) to model the Photogrammetric and Computer Vision adaptations of the (Brown, 1971) lens distortion models (Börlin and Grussenmeyer, 2016). In this paper, the Photogrammetric pipeline was extended by an affine transformation.…”
Section: Discussionmentioning
confidence: 99%
“…DBAT has been tested for several cases, including camera calibration (field calibration and laboratory-based, coded-target plate calibration) (Börlin and Grussenmeyer, 2014), large scale aerial photographs (small image sample) (Börlin and Grussenmeyer, 2016), as well as several tests in close range configurations (Dall'Asta et al, 2015). In this paper, the use of DBAT on PS projects is emphasized, since PS generates few statistics and is therefore more difficult to verify on its own.…”
Section: Software and Related Workmentioning
confidence: 99%
“…This has been applied, for example, to help camera self-calibration using the extended collinearity equations to converge by only using the Exif values of the images [41,47]. Furthermore, DBAT has been tested to reprocess real-world datasets, such as a small sample of large-format aerial images [21] and close-range photogrammetry projects, both terrestrial and UAV-based [22,48]. DBAT provides comprehensive statistics, such as posterior standard deviations of exterior and interior parameters, intersecting angles between images, sigma naught, correlations between the computed parameters, etc.…”
Section: Dbatmentioning
confidence: 99%
“…Partial algorithms and software programs performing a specific part of the general photogrammetric workflow also exist, for example DBAT [21], which calculates the bundle adjustment step, and SURE [46], which generates 3D dense point clouds from pre-oriented images. The programs listed above perform the computations locally.…”
Section: Software Solutionsmentioning
confidence: 99%
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