Volume IV-2/W3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W3, 81-88, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W3-81-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W3, 81-88, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W3-81-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  18 Aug 2017

18 Aug 2017

ON THE QUALITY AND EFFICIENCY OF APPROXIMATE SOLUTIONS TO BUNDLE ADJUSTMENT WITH EPIPOLAR AND TRIFOCAL CONSTRAINTS

J. Schneider, C. Stachniss, and W. Förstner J. Schneider et al.
  • Institute of Geodesy and Geoinformation, University of Bonn, Germany

Keywords: Bundle Adjustment, Trifocal Constraint, Approximate Solution, Quality Evaluation

Abstract. Bundle adjustment is a central part of most visual SLAM and Structure from Motion systems and thus a relevant component of UAVs equipped with cameras. This paper makes two contributions to bundle adjustment. First, we present a novel approach which exploits trifocal constraints, i.e., constraints resulting from corresponding points observed in three camera images, which allows to estimate the camera pose parameters without 3D point estimation. Second, we analyze the quality loss compared to the optimal bundle adjustment solution when applying different types of approximations to the constrained optimization problem to increase efficiency. We implemented and thoroughly evaluated our approach using a UAV performing mapping tasks in outdoor environments. Our results indicate that the complexity of the constraint bundle adjustment can be decreased without loosing too much accuracy.