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Stability analysis for a multi-camera photogrammetric system.

Ayman Habib1, Ivan Detchev2, Eunju Kwak3

  • 1Department of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada. ahabib@ucalgary.ca.

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Digital cameras exhibit geometric instability affecting photogrammetry. This study introduces simulation-based methods for analyzing multi-camera system stability, crucial for accurate 3D reconstruction.

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Area of Science:

  • Photogrammetry
  • Computer Vision
  • Metrology

Background:

  • Consumer-grade digital cameras possess inherent geometric instability, impacting photogrammetric accuracy.
  • Existing single-camera stability analysis methods do not adequately address multi-camera systems.
  • Interior orientation parameter (IOP) variation over time is a key challenge in photogrammetry.

Purpose of the Study:

  • To review interior orientation parameter variation in consumer cameras for photogrammetry.
  • To propose and evaluate simulation-based methods for multi-camera photogrammetric system stability analysis.
  • To adapt the collinearity model for multi-camera system calibration and stability assessment.

Main Methods:

  • Comprehensive review of single-camera stability analysis techniques.
  • Modification of the collinearity model for multi-camera system calibration.
  • Development and application of three novel simulation-based methods for system stability analysis.
  • Exploration of the impact of IOP and relative orientation parameter variations on 3D reconstruction.

Main Results:

  • The proposed simulation-based methods provide stability analysis for multi-camera photogrammetric systems.
  • Experiment results demonstrate compatibility between simulation-based and real-data-based approaches.
  • The methods effectively evaluate the impact of calibration parameter changes on 3D reconstruction accuracy.

Conclusions:

  • Simulation-based analysis offers a viable alternative to real-data validation for photogrammetric system calibration stability.
  • The developed methods enhance the reliability of multi-camera photogrammetric systems.
  • Accurate stability analysis is essential for dependable 3D reconstruction in photogrammetry.