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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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
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