HAL: inria-00590206, version 1

DOI: 10.1007/11744023_16

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9th European Conference on Computer Vision (ECCV '06), Graz : Autriche (2006)

A Fluid Motion Estimator for Schlieren Image Velocimetry

Elise Arnaud 1, Etienne Memin 2, Roberto Sosa 3, Guillermo Artana 3

(2006)

In this paper, we address the problem of estimating the motion of fluid flows that are visualized through a Schlieren system. Such a system is well known in fluid mechanics as it enables the visualization of unseeded flows. As the resulting images exhibit very low photometric contrasts, classical motion estimation methods based on the brightness consistency assumption (correlation-based approaches, optical flow methods) are completely inefficient. This work aims at proposing a sound energy based estimator dedicated to these particular images. The energy function to be minimized is composed of (a) a novel data term describing the fact that the observed luminance is linked to the gradient of the fluid density and (b) a specific div curl regularization term. The relevance of our estimator is demonstrated on real-world sequences.

1:	Dipartimento di Informatica e Scienze dell'Informazione (DISI)
	Università di Genova
2:	VISTA (INRIA - IRISA)
	CNRS : UMR6074 – INRIA – Université de Rennes 1 – Institut National des Sciences Appliquées (INSA)
3:	Facultad de Ingenieria [Buenos Aires] (LFD)
	Universidad de Buenos Aires

Domain

:

Computer Science/Computer Graphics and Virtual Reality

inria-00590206, version 1

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Submitted on: Tuesday, 3 May 2011 09:36:50

Updated on: Friday, 13 May 2011 10:38:54