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A robust single-pixel particle image velocimetry based on fully convolutional networks with cross-correlation embedded
CC-FCN has two types of input layers, one is for the particle images, and the other is for the initial velocity field calculated using cross-correlation with a coarse resolution.
Particle reconstruction of volumetric particle image velocimetry with strategy of machine learning
Three-dimensional particle reconstruction with limited two-dimensional projections is an under-determined inverse problem that the exact solution is often difficult to be obtained.
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