PublisherINSTICC Press. Institute for Systems and Technologies of Information, Control and Communication
Rights accessOpen Access
We propose a novel algorithm for stereo matching using a dynamical systems approach. The stereo correspondence problem is first formulated as an energy minimization problem. From the energy function, we derive a system of differential equations describing the corresponding dynamical system of interacting elements, which
we solve using numerical integration. Optimization is introduced by means of a damping term and a noise term, an idea similar to simulated annealing. The algorithm is tested on the Middlebury stereo benchmark.
CitationDellen, B.; Wörgötter , F. Simulating dynamical systems for early vision. A: "Computer Vision, Theory and Applications". INSTICC Press. Institute for Systems and Technologies of Information, Control and Communication, 2009, p. 525-528.
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