A Simple and Fast Neural Network Approach to Stereovision

Part of Advances in Neural Information Processing Systems 10 (NIPS 1997)

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Rolf Henkel


A neural network approach to stereovision is presented based on aliasing effects of simple disparity estimators and a fast coherence(cid:173) detection scheme. Within a single network structure, a dense dis(cid:173) parity map with an associated validation map and, additionally, the fused cyclopean view of the scene are available. The network operations are based on simple, biological plausible circuitry; the algorithm is fully parallel and non-iterative.