ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 9-16, 2018
https://doi.org/10.5194/isprs-annals-IV-2-9-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
28 May 2018
BUNDLE ADJUSTMENT-BASED STABILITY ANALYSIS METHOD WITH A CASE STUDY OF A DUAL FLUOROSCOPY IMAGING SYSTEM
K. Al-Durgham1, D. D. Lichti1, I. Detchev1, G. Kuntze2, and J. L. Ronsky2 1Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada
2Department of Mechanical & Manufacturing Engineering, University of Calgary, Calgary, Alberta, Canada
Keywords: Camera and Imaging System Stability, Calibration Parameter Similarity, Dual Fluoroscopy, Biplanar Videoradiography Abstract. A fundamental task in photogrammetry is the temporal stability analysis of a camera/imaging-system’s calibration parameters. This is essential to validate the repeatability of the parameters’ estimation, to detect any behavioural changes in the camera/imaging system and to ensure precise photogrammetric products. Many stability analysis methods exist in the photogrammetric literature; each one has different methodological bases, and advantages and disadvantages. This paper presents a simple and rigorous stability analysis method that can be straightforwardly implemented for a single camera or an imaging system with multiple cameras. The basic collinearity model is used to capture differences between two calibration datasets, and to establish the stability analysis methodology. Geometric simulation is used as a tool to derive image and object space scenarios. Experiments were performed on real calibration datasets from a dual fluoroscopy (DF; X-ray-based) imaging system. The calibration data consisted of hundreds of images and thousands of image observations from six temporal points over a two-day period for a precise evaluation of the DF system stability. The stability of the DF system – for a single camera analysis – was found to be within a range of 0.01 to 0.66 mm in terms of 3D coordinates root-mean-square-error (RMSE), and 0.07 to 0.19 mm for dual cameras analysis. It is to the authors’ best knowledge that this work is the first to address the topic of DF stability analysis.
Conference paper (PDF, 1945 KB)

Citation: Al-Durgham, K., Lichti, D. D., Detchev, I., Kuntze, G., and Ronsky, J. L.: BUNDLE ADJUSTMENT-BASED STABILITY ANALYSIS METHOD WITH A CASE STUDY OF A DUAL FLUOROSCOPY IMAGING SYSTEM, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 9-16, https://doi.org/10.5194/isprs-annals-IV-2-9-2018, 2018.

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