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Adaptative Multigrid and Variable Parameterization for Optical-flow Estimation
We investigate the use of adaptative multigrid minimization algorithms for the estimation of the apparent motion field. The proposed approach provides a coherent and... -
Dense Estimation and Object-Oriented Segmentation of the Optical Flow with Ro...
In this paper we address the intricate issue of recovering and segmenting the apparent velocity field between consecutive frames of an image sequence. As for motion... -
Algorithms based on sparsity hypotheses for robust estimation of the noise st...
Inmany applications, d-dimensional observations result fromthe randompresenceor absence of randomsignals in independent and additivewhite Gaussiannoise. An estimate of... -
On the deviation of extreme sea-cliff instabilities from the power-law freque...
In : International Coastal Symposium (ICS) : 2013 Proceedings (Plymouth, Uniteg Kingdom) -
High-dimensional statistical methods for inter-subject studies in neuroimaging
La variabilité inter-individuelle est un obstacle majeur à l'analyse d'images médicales, en particulier en neuroimagerie. Il convient de distinguer la variabilité...
