Abstract
This paper presents an optimisation technique to select automatically a set of control parameters for a Markov Random Field applied to stereo matching. The method is based on the Reactive Tabu Search strategy, and requires to define a suitable fitness function that measures the performance of the MRF stereo algorithm with a given parameters set. This approach have been made possible by the recent availability of ground-truth disparity maps. Experiments with synthetic and real images illustrate the approach.
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© 2005 Springer-Verlag Berlin Heidelberg
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Gherardi, R., Castellani, U., Fusiello, A., Murino, V. (2005). Optimal Parameter Estimation for MRF Stereo Matching. In: Roli, F., Vitulano, S. (eds) Image Analysis and Processing – ICIAP 2005. ICIAP 2005. Lecture Notes in Computer Science, vol 3617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553595_100
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DOI: https://doi.org/10.1007/11553595_100
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28869-5
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