作者: E.P. Simoncelli , E.H. Adelson , D.J. Heeger
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摘要: Gradient methods are widely used in the computation of optical flow. The authors discuss extensions these which compute probability distributions use allows representation uncertainties inherent flow computation, facilitating combination with information from other sources. Distributed for a synthetic image sequence is computed, and it demonstrated that probabilistic model accounts errors estimates. distributed real computed. >