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Large Baseline Matching of Scale Invariant Features

  • Elisabetta Delponte
  • Francesco Isgrò
  • Francesca Odone
  • Alessandro Verri
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

Abstract

The problem of feature points matching between pair of views of the scene is one of the key problems in computer vision, because of the number of applications. In this paper we discuss an alternative version of an SVD matching algorithm earlier proposed in the literature. In the version proposed the original algorithm has been modified for coping with large baselines. The claim of improved performances for larger baselines is supported by experimental evidence.

Keywords

Interest Point Scale Invariant Feature Transform Stereo Pair Correct Match Epipolar Line 
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 2005

Authors and Affiliations

  • Elisabetta Delponte
    • 1
  • Francesco Isgrò
    • 1
  • Francesca Odone
    • 1
  • Alessandro Verri
    • 1
  1. 1.INFM – DISIUniversità di GenovaGenovaItaly

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