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. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Liu, Z., & Klette, R. (2009). Dynamic programming stereo on real-world sequences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5507 LNCS, pp. 527–534). https://doi.org/10.1007/978-3-642-03040-6_64
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