APPROXIMATE GEOMETRY REPRESENTATIONS AND SENSORY FUSION

Information from the external world goes through various transformatio ns. The learning of the original neighbourhood relations of the world using only the transformed information is examined in detail. An appro ximate representation consists of a finite number of discretizing poin ts and connections between neighbouring points. The goal here is to de velop the theory of self-organizing approximate representations. Such a self-organizing system may be considered as a generalization of the Kohonen topographical map that we now equip with self-organizing neigb ouring connections. For illustrative purposes an example is presented for sensory fusion: the geometry of the 3D world is learned using the outputs of two cameras.