Bayesian Estimation of Turbulent Motion

@article{Has2013BayesianEO,
  title={Bayesian Estimation of Turbulent Motion},
  author={P. H{\'e}as and C. Herzet and {\'E}. M{\'e}min and D. Heitz and P. Mininni},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2013},
  volume={35},
  pages={1343-1356}
}
  • P. Héas, C. Herzet, +2 authors P. Mininni
  • Published 2013
  • Computer Science, Medicine, Mathematics
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
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… Expand
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