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Dense Estimation of Fluid Flows
In this paper, we address the problem of estimating and analyzing the motion of fluids in image sequences. Due to the great deal of spatial and temporal distortions that intensity patterns exhibit inExpand
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Dense estimation and object-based segmentation of the optical flow with robust techniques
In this paper, we address the issue of recovering and segmenting the apparent velocity field in sequences of images. As for motion estimation, we minimize an objective function involving two robustExpand
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Fluid experimental flow estimation based on an optical-flow scheme
We present in this paper a novel approach dedicated to the measurement of velocity in fluid experimental flows through image sequences. Unlike most of the methods based on particle image velocimetryExpand
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Variational Assimilation of Fluid Motion from Image Sequence
In this paper, a variational technique derived from optimal control theory is used in order to realize a dynamically consistent motion estimation of a whole fluid image sequence. The estimation isExpand
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Divergence-Free Wavelets and High Order Regularization
Expanding on a wavelet basis the solution of an inverse problem provides several advantages. First of all, wavelet bases yield a natural and efficient multiresolution analysis which allows definingExpand
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A multigrid approach for hierarchical motion estimation
This paper focuses on the estimation of the apparent motion field between two consecutive frames in an image sequence. The approach developed here is a tradeoff between methods based on globalExpand
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A Low Dimensional Fluid Motion Estimator
In this paper we propose a new motion estimator for image sequences depicting fluid flows. The proposed estimator is based on the Helmholtz decomposition of vector fields. This decomposition consistsExpand
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Stochastic Uncertainty Models for the Luminance Consistency Assumption
In this paper, a stochastic formulation of the brightness consistency used in many computer vision problems involving dynamic scenes (for instance, motion estimation or point tracking) is proposed.Expand
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Strong and weak constraint variational assimilations for reduced order fluid flow modeling
In this work we propose and evaluate two variational data assimilation techniques for the estimation of low order surrogate experimental dynamical models for fluid flows. Both methods are built fromExpand
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Hierarchical estimation of a dense deformation field for 3-D robust registration
A new method for medical image registration is formulated as a minimization problem involving robust estimators. The authors propose an efficient hierarchical optimization framework which is bothExpand
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