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2007

Automatic selection of MRF control parameters by reactive tabu search

12 years 1 months ago
Automatic selection of MRF control parameters by reactive tabu search
This paper presents an optimisation technique to automatically select a set of control parameters for a Markov Random Field. 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 algorithm with a given parameters set. The technique is applied to stereo matching thanks to the availability of ground-truth disparity maps. Experiments with synthetic and real images illustrate the approach. Key words: parameter estimation, markov random fields, reactive tabu search.
Umberto Castellani, Andrea Fusiello, Riccardo Gher
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where IVC
Authors Umberto Castellani, Andrea Fusiello, Riccardo Gherardi, Vittorio Murino
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