Simulating dynamical systems for early vision

Abstract: We propose a novel algorithm for stereo matching using a dynamical systems approach. The stereo correspon-dence 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.