Spatiotemporal super-resolution forecasting of high-speed turbulent flows
This paper implements a spatiotemporal neural network architecture based on the U-Net
prototype with four branches, UBranch, to perform both spatial reconstruction and temporal …
prototype with four branches, UBranch, to perform both spatial reconstruction and temporal …
Volumetric reconstruction of flow particles through light field particle image velocimetry and deep neural network
Tomographic reconstruction of three-dimensional (3D) tracer particle distributions through
light field particle image velocimetry (LF-PIV) faces challenges in low reconstruction …
light field particle image velocimetry (LF-PIV) faces challenges in low reconstruction …
Single sensor tomographic particle image velocimetry using kaleidoscopic light field camera
Tomographic particle image velocimetry (Tomo-PIV) is a powerful tool for measuring fluid
velocity. However, its use in deep and narrow spaces presents challenges due to the limited …
velocity. However, its use in deep and narrow spaces presents challenges due to the limited …
Surrogate-based cross-correlation for particle image velocimetry
This paper presents a novel surrogate-based cross-correlation (SBCC) framework to
improve the correlation performance for practical particle image velocimetry (PIV). The basic …
improve the correlation performance for practical particle image velocimetry (PIV). The basic …
Investigation of Prior Information for Light Field Imaging-Based Digitally Refocused Particle Image Velocimetry
A single light field camera-based tomographic particle image velocimetry (LF Tomo-PIV) has
shown a significant advancement in three-dimensional three-component velocity field …
shown a significant advancement in three-dimensional three-component velocity field …