Dense Stereomatching Algorithm Performance for View Prediction and Structure Reconstruction

  • Jana Kostková
  • Jan Čech
  • Radim Šára
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

The knowledge of stereo matching algorithm properties and behaviour under varying conditions is crucial for the selection of a proper method for the desired application. In this paper we study the behaviour of four representative matching algorithms under varying signal-to-noise ratio in six types of error statistics. The errors are focused on basic matching failure mechanisms and their definition observes the principles of independence, symmetry and completeness. A ground truth experiment shows that the best choice for view prediction is the Graph Cuts algorithm and for structure reconstruction it is the Confidently Stable Matching.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Jana Kostková
    • 1
  • Jan Čech
    • 1
  • Radim Šára
    • 1
  1. 1.Center for Machine PerceptionCzech Technical UniversityPragueCzech Republic

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