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Pose Estimation from Airborne Video Sequences Using a Structural Approach for the Construction of Homographies and Fundamental Matrices

  • Eckart Michaelsen
  • Uwe Stilla
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3138)

Abstract

A structural knowledge-based search method is utilized for the estimation of geometric transforms from airborne video sequences. Examples are projective planar homographies and constraints such as the fundamental matrix. These estimations are calculated from correspondences of interest points between two images. Different approaches are discussed to cope with the problem of outlier- correspondences. To ensure any-time performance the search process is implemented in a data-driven production system. The pose estimation from planar homographies is compared to estimations from fundamental matrices. A fusion of both approaches is proposed. The image processing is performed by bottom-up structural analysis using an assessment-driven control. Examples are from the thermal spectral domain.

Keywords

Interest Point Fundamental Matrix Fundamental Matrice Epipolar Constraint Random Sample Consensus 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Eckart Michaelsen
    • 1
  • Uwe Stilla
    • 2
  1. 1.FGAN / FOMEttlingenGermany
  2. 2.Photogrm. & Rem. Sens. / TU MunichMünchenGermany

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