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Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields

Étienne Mémin, Patrick Pérez
ICCV 1999 pp. 620-625
doi:10.1109/ICCV.1999.791282 /iccv/1999/memin1999iccv-fluid/

Abstract

Addresses the problem of estimating and analyzing the motion in image sequences that involve fluid phenomena. In this context, standard motion estimation techniques are not well-adapted, and more dedicated approaches have to be designed. We thus propose to estimate, in a joint and cooperative way, a dense motion field and a peculiar parametric representation of the flow. The parametric model is derived from an extension of the Rankine vortex model and includes a laminar flow field. Dense and parametric fields are estimated by minimizing a robust global objective function, thanks to a specific alternate scheme. The method has been validated on different kinds of meteorological image sequences.

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Text

Mémin and Pérez. "Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields." IEEE/CVF International Conference on Computer Vision, 1999. doi:10.1109/ICCV.1999.791282

Markdown

[Mémin and Pérez. "Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields." IEEE/CVF International Conference on Computer Vision, 1999.](https://mlanthology.org/iccv/1999/memin1999iccv-fluid/) doi:10.1109/ICCV.1999.791282

BibTeX

@inproceedings{memin1999iccv-fluid,
  title     = {{Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields}},
  author    = {Mémin, Étienne and Pérez, Patrick},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1999},
  pages     = {620-625},
  doi       = {10.1109/ICCV.1999.791282},
  url       = {https://mlanthology.org/iccv/1999/memin1999iccv-fluid/}
}