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Erschienen in:
1989 | OriginalPaper | Buchkapitel
Computing Motion in the Presence of Discontinuities: Algorithm and Analog Networks
verfasst von : Christof Koch
Erschienen in: Neural Computers
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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In this paper we will describe recent developments in the theory of early vision which lead from the formulation of the motion problem as ill-posed problem to its solution by minimizing certain “cost” functions. These cost or energy functions can be mapped onto very simple analog and binary resistive networks. Thus, we will see how the optical flow can be computed by injecting currents into “neural” networks and recording the resulting stationary voltage distribution at each node. These networks can be implemented in cMOS VLSI circuits and represent plausible candidates for biological vision systems.