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Variational optical flow estimation for particle image velocimetry |
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| Authors: | P Ruhnau T Kohlberger C Schnörr H Nobach | ||||
| Institution: | (1) Department of Mathematics and Computer Science, Computer Vision, Graphics, and Pattern Recognition Group, University of Mannheim, 68131 Mannheim, Germany;(2) Chair of Fluid Mechanics and Aerodynamics, Darmstadt University of Technology, 64287 Darmstadt, Germany | ||||
| Abstract: | We introduce a novel class of algorithms for evaluating PIV image pairs. The mathematical basis is a continuous variational formulation for globally estimating the optical flow vector fields over the whole image. This class of approaches has been known in the field of image processing and computer vision for more than two decades but apparently has not been applied to PIV image pairs so far. We pay particular attention to a multi-scale representation of the image data so as to cope with the quite specific signal structure of particle image pairs. The experimental evaluation shows that a prototypical variational approach competes in noisy real-world scenarios with three alternative approaches especially designed for PIV-sequence evaluation. We outline the potential of the variational method for further developments.The publications of the CVGPR Group are listed under .
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