Bayesian Estimation of Turbulent Motion

@article{Has2013BayesianEO,
  title={Bayesian Estimation of Turbulent Motion},
  author={Patrick H{\'e}as and C{\'e}dric Herzet and {\'E}tienne M{\'e}min and Dominique Heitz and Pablo D. Mininni},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2013},
  volume={35},
  pages={1343-1356}
}
Based on physical laws describing the multiscale structure of turbulent flows, this paper proposes a regularizer for fluid motion estimation from an image sequence. Regularization is achieved by imposing some scale invariance property between histograms of motion increments computed at different scales. By reformulating this problem from a Bayesian perspective, an algorithm is proposed to jointly estimate motion, regularization hyperparameters, and to select the most likely physical prior among… CONTINUE READING
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