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Dynamic Programming Stereo on Real-World Sequences

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Advances in Neuro-Information Processing (ICONIP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5507))

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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.

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References

  1. enpeda. Image Sequence Analysis Test Site, http://www.mi.auckland.ac.nz/EISATS

  2. Franke, U., Gehrig, S., Badino, H., Rabe, C.: Towards optimal stereo analysis of image sequences. In: Sommer, G., Klette, R. (eds.) RobVis 2008. LNCS, vol. 4931, pp. 43–58. Springer, Heidelberg (2008)

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© 2009 Springer-Verlag Berlin Heidelberg

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Liu, Z., Klette, R. (2009). Dynamic Programming Stereo on Real-World Sequences. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03040-6_64

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  • DOI: https://doi.org/10.1007/978-3-642-03040-6_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03039-0

  • Online ISBN: 978-3-642-03040-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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