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Bayesian Modeling of Uncertainty in Low-Level Vision - The Springer International Series in Engineering and Computer Science Richard Szeliski 1989 edition
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Bayesian Modeling of Uncertainty in Low-Level Vision - The Springer International Series in Engineering and Computer Science
Richard Szeliski
First, he presents a systematic Bayesian probabilistic estimation framework in which we can define and compute the prior model, the sensor model, and the posterior model.
198 pages, biography
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