Dynamic Programming Stereo on Real-World Sequences

  • Authors:

  • Zhifeng Liu;Reinhard Klette

  • Affiliations:

  • The .enpeda.. Project, The University of Auckland, Auckland, New Zealand;The .enpeda.. Project, The University of Auckland, Auckland, New Zealand

  • Venue:
  • Advances in Neuro-Information Processing
  • Year:
  • 2009

  • Discrete Driver Assistance

    ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing

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Abstract

This paper proposes a way to approximate ground truth for real-world stereo sequences, and applies this for evaluating the performance of different variants of dynamic programming stereo analysis. This illustrates a way of performance evaluation, also allowing to derive sequence analysis diagrams. Obtained results differ from those obtained for the discussed algorithms on smaller, or engineered test data. This also shows the value of real-world testing.