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Disparity Using Feature Points in Multi Scale

  • Ilkay Ulusoy
  • Edwin R. Hancock
  • Ugur Halici
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2396)

Abstract

In this paper we describe a statistical framework for binocular disparity estimation. We use a bank of Gabor filters to compute multiscale phase signatures at detected feature points. Using a von Mises distribution, we calculate correspondence probabilities for the feature points in different images using the phase differences at different scales. The disparity map is computed using the set of maximum likelihood correspondences.

Keywords

Feature Point Population Vector Binocular Disparity Multi Scale Stereo Correspondence 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Ilkay Ulusoy
    • 1
  • Edwin R. Hancock
    • 2
  • Ugur Halici
    • 1
  1. 1.Computer Vision and Artificial Neural Networks Lab.Middle East Technical UniversityAnkaraTurkey
  2. 2.Department of Computer ScienceUniversity of YorkUK

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