Robust PCA decomposes stacked PIV frames into a low-rank background and a sparse particle component, improving background removal over POD-based and min-removal methods.
Tomographic particle image velocimetry
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Robust Principal Component Analysis for Background Estimation of Particle Image Velocimetry Data
Robust PCA decomposes stacked PIV frames into a low-rank background and a sparse particle component, improving background removal over POD-based and min-removal methods.