Presentado al International Conference on Computer Vision Theory and Applications (VISAPP/2009) celebrado en Lisboa (Portugal). 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. This work has received support from the BMBF funded BCCN Göttingen and the EU Project Drivsco under Contract No. 016276-2. Peer Reviewed