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Stochastic Geometry

Keywords: Kalman Filter

Categories: Vision


Author(s): R.M. Cameron-Jones

The representation of parameters associated with geometric primitives as stochastic processes; thus enabling the application of techniques from stochastic filtering theory. It is most commonly used in problems of data fusion, where the (possibly Extended) Kalman Filter is the best known tool as in most application areas of stochastic filtering.


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