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Variational Adaptive Correlation Method for Flow Estimation

Becker, Florian and Wieneke, Bernhard and Petra, Stefania and Schröder, Andreas and Schnörr, Christoph (2012) Variational Adaptive Correlation Method for Flow Estimation. IEEE Transactions on Image Processing, Vol. 21 (6), pp. 3053-3065. IEEE. DOI: 10.1109/TIP.2011.2181524. ISSN 1079-7149.

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A variational approach is presented to the estimation of turbulent fluid flow from particle image sequences in experimental fluid mechanics. The approach comprises two coupled optimizations for adapting size and shape of a Gaussian correlation window at each location and for estimating the flow, respectively. Themethod copeswith a wide range of particle densities and image noise levels without any data-specific parameter tuning. Based on a careful implementation of a multiscale nonlinear optimization technique, we demonstrate robustness of the solution over typical experimental scenarios and highest estimation accuracy for an international benchmark data set (PIV Challenge).

Document Type:Article
Additional Information:online publish: 2012
Title:Variational Adaptive Correlation Method for Flow Estimation
AuthorsInstitution or Email of Authors
Becker, FlorianUniversity of Heidelberg, Germany
Wieneke, BernhardLaVision, Göttingen, D
Petra, StefaniaUniversity of Heidelberg, Germany
Schröder, AndreasUNSPECIFIED
Schnörr, ChristophUniversity of Heidelberg, Germany
Journal or Publication Title:IEEE Transactions on Image Processing
Refereed publication:Yes
In ISI Web of Science:Yes
Volume:Vol. 21
Page Range:pp. 3053-3065
Keywords:Adaptive method, correlation, particle image velocity, variational approach
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Aircraft Research
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation & Validation
Location: Göttingen
Institutes and Institutions:Institute of Aerodynamics and Flow Technology > Experimental Methods
Deposited By: Ilka Micknaus
Deposited On:21 Feb 2012 15:20
Last Modified:26 Feb 2013 15:02

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