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    <meta name="dc.creator" content="Etienne Mémin"/>
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      <div class="TdmEntry">Research Program<ul><li><a href="uid8.html&#10;&#9;&#9;  ">Estimation of fluid characteristic features from images</a></li><li><a href="uid9.html&#10;&#9;&#9;  ">Data assimilation and Tracking of characteristic fluid features</a></li><li><a href="uid10.html&#10;&#9;&#9;  "> Optimization and control of fluid flows with visual servoing</a></li></ul></div>
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	    Raweb 
	    2014</a> | <a href="http://www.inria.fr/en/teams/fluminance">Presentation of the Project-Team FLUMINANCE</a> | <a href="http://www.irisa.fr/fluminance">FLUMINANCE Web Site
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        <h2>Section: 
      New Software and Platforms</h2>
        <h3 class="titre3">DenseMotion software - Estimation of 2D dense motion fields</h3>
        <p class="participants"><span class="part">Participant</span> :
	Etienne Mémin.</p>
        <p>This code allows the computation from two consecutive images of a dense motion field. The estimator is expressed as a global energy function minimization. The code enables the choice of different data models and different regularization functionals depending on the targeted application. Generic motion estimators for video sequences or fluid flows dedicated estimators can be set up. This software allows in addition the users to specify additional correlation based matching measurements. It enables also the inclusion of a temporal smoothing prior relying on a velocity vorticity formulation of the Navier-Stoke equation for Fluid motion analysis applications. The different variants of this code correspond to research studies that have been published in IEEE transaction on Pattern Analysis and machine Intelligence, Experiments in Fluids, IEEE transaction on Image Processing, IEEE transaction on Geo-Science end Remote Sensing. The binary of this code can be freely downloaded on the <span class="smallcap">fluid </span> web site <a href="http://fluid.irisa.fr">http://fluid.irisa.fr</a> .
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