Pose estimation from uncertain omnidirectional image data using line-plane correspondences

  • Authors:
  • Christian Gebken;Antti Tolvanen;Gerald Sommer

  • Affiliations:
  • Institut für Informatik, CAU Kiel, Kiel, Germany;Institut für Informatik, CAU Kiel, Kiel, Germany;Institut für Informatik, CAU Kiel, Kiel, Germany

  • Venue:
  • DAGM'06 Proceedings of the 28th conference on Pattern Recognition
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Omnidirectional vision is highly beneficial for robot navigation. We present a novel perspective pose estimation for omnidirectional vision involving a parabolic central catadioptric sensor using line-plane correspondences. We incorporate an appropriate and approved stochastic method to deal with uncertainties in the data.