Statistical Estimation of Fluid Flow Fields
نویسندگان
چکیده
Many natural phenomena involve dynamic fluids whose motion differs radically from that of rigid bodies. This paper presents a novel approach for estimating fluid motion fields. It first estimates a local flow probability distribution function at each pixel using the STAR model and the data from a spatio-temporal neighborhood. It then feeds the set of distribution functions into a global optimization framework. As a result, the optimization returns a motion field with a unique velocity vector at each pixel. Experiments with real fluid sequences show that this method can successfully estimate their motion fields.
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