Etienne Mémin
Etienne Mémin
Directeur de Recherche Inria Fluminance group (Inria, CNRS, Irstea, Université de Rennes I, IRMAR)
在 的电子邮件经过验证 - 首页
Dense estimation of fluid flows
T Corpetti, E Mémin, P Pérez
IEEE Transactions on pattern analysis and machine intelligence 24 (3), 365-380, 2002
Dense estimation and object-based segmentation of the optical flow with robust techniques
E Mémin, P Pérez
IEEE Transactions on Image Processing 7 (5), 703-719, 1998
Fluid experimental flow estimation based on an optical-flow scheme
T Corpetti, D Heitz, G Arroyo, E Mémin, A Santa-Cruz
Experiments in fluids 40 (1), 80-97, 2006
Hierarchical estimation and segmentation of dense motion fields
E Mémin, P Pérez
International Journal of Computer Vision 46 (2), 129-155, 2002
Variational fluid flow measurements from image sequences: synopsis and perspectives
D Heitz, E Mémin, C Schnörr
Experiments in fluids 48 (3), 369-393, 2010
Hierarchical estimation of a dense deformation field for 3-D robust registration
P Hellier, C Barillot, E Mémin, P Pérez
IEEE transactions on medical imaging 20 (5), 388-402, 2001
A multigrid approach for hierarchical motion estimation
E Memin, P Perez
Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998
Discrete orthogonal decomposition and variational fluid flow estimation
J Yuan, C Schnörr, E Mémin
Journal of Mathematical Imaging and Vision 28 (1), 67-80, 2007
Data assimilation with the weighted ensemble Kalman filter
N Papadakis, É Mémin, A Cuzol, N Gengembre
Tellus A: Dynamic Meteorology and Oceanography 62 (5), 673-697, 2010
Fluid flow dynamics under location uncertainty
E Mémin
Geophysical & Astrophysical Fluid Dynamics 108 (2), 119-146, 2014
Variational assimilation of fluid motion from image sequence
N Papadakis, E Mémin
SIAM Journal on Imaging Sciences 1 (4), 343-363, 2008
Conditional filters for image sequence-based tracking-application to point tracking
E Arnaud, E Memin, B Cernuschi-Frias
IEEE Transactions on image processing 14 (1), 63-79, 2004
Extraction of singular points from dense motion fields: an analytic approach
T Corpetti, E Mémin, P Pérez
Journal of mathematical imaging and vision 19 (3), 175-198, 2003
Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation
A Gronskis, D Heitz, E Mémin
Journal of Computational Physics 242, 480-497, 2013
Layered estimation of atmospheric mesoscale dynamics from satellite imagery
P Héas, E Mémin, N Papadakis, A Szantai
IEEE Transactions on Geoscience and Remote Sensing 45 (12), 4087-4104, 2007
Study of the flow induced by a sliding discharge
R Sosa, E Arnaud, E Mémin, G Artana
IEEE transactions on Dielectrics and Electrical Insulation 16 (2), 305-311, 2009
A low dimensional fluid motion estimator
A Cuzol, P Hellier, E Memin
International Journal of Computer Vision 75 (3), 329-349, 2007
Pressure image assimilation for atmospheric motion estimation
T Corpetti, P Héas, E Mémin, N Papadakis
Tellus A: Dynamic Meteorology and Oceanography 61 (1), 160-178, 2009
A stochastic filtering technique for fluid flow velocity fields tracking
A Cuzol, E Mémin
IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (7), 1278-1293, 2008
Variational dense motion estimation using the Helmholtz decomposition
T Kohlberger, É Mémin, C Schnörr
International Conference on Scale-Space Theories in Computer Vision, 432-448, 2003
文章 1–20