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Approximated Ground Truth for Stereo and Motion Analysis on Real-World Sequences

  • Zhifeng Liu
  • Reinhard Klette
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5414)

Abstract

This paper approximates ground truth for real-world stereo sequences and demonstrates its use for the performance analysis of a few selected stereo matching and optical flow techniques. Basically we assume zero roll and constant tilt of an ego-vehicle (for about 10 seconds) driving on a planar road.

Keywords

Performance evaluation stereo analysis motion analysis real-world sequences driver assistance 

References

  1. 1.
    .enpeda.. Image Sequence Analysis Test Site. Link EISATS on http://www.citr.auckland.ac.nz/6D/
  2. 2.
    Guan, S., Klette, R., Woo, Y.K.: Belief-propagation for stereo analysis of image sequences. In: Wada, T., Huang, F., Lin, S. (eds.) PSIVT 2009. LNCS, vol. 5414, pp. 932–943. Springer, Heidelberg (2009)Google Scholar
  3. 3.
    Klette, R., Schlüns, K., Koschan, A.: Computer Vision. Springer, Singapore (1998)zbMATHGoogle Scholar
  4. 4.
    Liu, Z., Klette, R.: Performance evaluation of stereo and motion analysis on rectified image sequences. Technical report, Computer Science Department, The University of Auckland (2007)Google Scholar
  5. 5.
    Intel Open Source Computer Vision Library, http://www.intel.com/research/mrl/research/opencv/

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Zhifeng Liu
    • 1
  • Reinhard Klette
    • 1
  1. 1.The .enpeda.. ProjectThe University of AucklandAucklandNew Zealand

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