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Adaptive Integration of Feature Matches into Variational Optical Flow Methods

  • Michael Stoll
  • Sebastian Volz
  • Andrés Bruhn
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7726)

Abstract

Despite the significant progress in terms of accuracy achieved by recent variational optical flow methods, the correct handling of large displacements still poses a severe problem for many algorithms. In particular if the motion exceeds the size of an object, standard coarse-to-fine estimation schemes fail to produce meaningful results. While the integration of point correspondences may help to overcome this limitation, such strategies often deteriorate the performance for small displacements due to false or ambiguous matches. In this paper we address the aforementioned problem by proposing an adaptive integration strategy for feature matches. The key idea of our approach is to use the matching energy of the baseline method to carefully select those locations where feature matches may potentially improve the estimation. This adaptive selection does not only reduce the runtime compared to an exhaustive search, it also improves the reliability of the estimation by identifying unnecessary and unreliable features and thus by excluding spurious matches. Results for the Middlebury benchmark and several other image sequences demonstrate that our approach succeeds in handling large displacements in such a way that the performance for small displacements is not compromised. Moreover, experiments even indicate that image sequences with small displacements can benefit from carefully selected point correspondences.

Keywords

Motion Estimation Large Displacement Small Displacement Feature Match Baseline Method 
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 2013

Authors and Affiliations

  • Michael Stoll
    • 1
  • Sebastian Volz
    • 1
  • Andrés Bruhn
    • 1
  1. 1.Institute for Visualisation and Interactive SystemsUniversity of StuttgartGermany

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