Dense Estimation of Fluid Flows
By Thomas Corpetti, É. Mémin, Patrick Pérez. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
416 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/fe6b39b64212cecea5f03e099e2dd2dbf54e966d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Tianshu Liu
- Lixin Shen
- Denis Fortun
- Charles Kervrann
- Patrick Bouthemy
- Thomas Corpetti
- É. Mémin
- Peyman Milanfar
Citations in the corpus
- Fluid flow and optical flow (2008, methodology): “In their earlier work, Corpetti et al. (2002) gave a definition of the optical flow as a fluid-density-weighted velocity that is correct only for transmittance images but not for PIV images.”
- Optical flow modeling and computation: A survey (2015, methodology): “The introduction of this approach for optical flow estimation coincided with the use of robust penalties for discontinuity preserving regularization [7,32,77,174] and was more recently exploited in [65,112].”
- Fluid experimental flow estimation based on an optical-flow scheme (2006, methodology): “The choice of these three parameters was done initially on synthetic images (Corpetti et al. 2002).”