ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-2-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 71–78, 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-71-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 71–78, 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-71-2020

  03 Aug 2020

03 Aug 2020

TOWARDS STRUCTURELESS BUNDLE ADJUSTMENT WITH TWO- AND THREE-VIEW STRUCTURE APPROXIMATION

E. Rupnik and M. Pierrot Deseilligny E. Rupnik and M. Pierrot Deseilligny
  • LASTIG, Univ Gustave Eiffel, ENSG, IGN, F-94160 Saint-Mande, France

Keywords: Global SfM, Bundle adjustement, Structure approximation

Abstract. The global approaches solve SfM problems by independently inferring relative motions, followed be a sequential estimation of global rotations and translations. It is a fast approach but not optimal because it relies only on pairs and triplets of images and it is not a joint optimisation. In this publication we present a methodology that increases the quality of global solutions without the usual computational burden tied to the bundle adjustment. We propose an efficient structure approximation approach that relies on relative motions known upfront. Using the approximated structure, we are capable of refining the initial poses at very low computational cost. Compared to different benchmark datasets and software solutions, our approach improves the processing times while maintaining good accuracy.