Third-Eye Stereo Analysis Evaluation Enhanced by Data Measures

  • Verónica Suaste
  • Diego Caudillo
  • Bok-Suk Shin
  • Reinhard Klette
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7914)


Third-eye stereo analysis evaluation compares a virtual image, derived from results obtained by binocular stereo analysis, with a recorded image at the same pose. This technique is applied for evaluating stereo matchers on long (or continuous) stereo input sequences where no ground truth is available. The paper provides a critical and constructive discussion of this method. The paper also introduces data measures on input video sequences as an additional tool for analyzing issues of stereo matchers occurring for particular scenarios. The paper also reports on extensive experiments using two top-rated stereo matchers.


Reference Image Match Image Stereo Matcher Control Image Normalize Cross Correlation 
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

  • Verónica Suaste
    • 1
  • Diego Caudillo
    • 1
  • Bok-Suk Shin
    • 2
  • Reinhard Klette
    • 2
  1. 1.CIMAT and the University of GuanajuatoMexico
  2. 2.The .enpeda.. ProjectThe University of AucklandNew Zealand

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