Experimental dataset investigation of deep recurrent optical flow learning for particle image velocimetry: flow past a circular cylinder
Yuvarajendra Anjaneya Reddy,
Joel Wahl,
Mikael Sjödahl
Abstract:Current optical flow-based neural networks for Particle Image Velocimetry (PIV) are largely trained on synthetic datasets emulating real-world scenarios. While synthetic datasets provide greater control and variation than what can be achieved using experimental datasets for supervised learning, it requires a deeper understanding of how or what factors dictate the learning behaviors of deep neural networks for PIV. In this study, we investigate the performance of the Recurrent All-Pairs Field Transforms (RAFT-P… Show more
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