Uploaded October 2018 | Updated September 2026, 2 weeks ago
This animation shows the cross-correlation matrices of four Particle Image Velocimetry (PIV) studies. PIV is a method to derive velocities from fluids. It uses cross-correlations between two images to estimate a displacement. And these cross-correlations are what you see in the animation. Each correlation has a small yellow peak. The distance from the centre of the matrix to this peak actually tells you the speed of your fluid at a specific point! The small black circle is from the peak finding algorithm - it locates the peak with sub-pixel accuracy. This is how a PIV software calculates all the vectors.
The matrices were calculated with PIVlab in MATLAB. They were also rendered to a movie file in MATLAB.
My PIV tool: pivlab.blogspot.com
More info on PIV: en.wikipedia.org/wiki/Particle_image_velocimetry
Music: Cliverpool by Pierlo is licensed under a Attribution-Noncommercial-Share Alike 2.5 Italy License.
This animation shows the cross-correlation matrices of four Particle Image Velocimetry (PIV) studies. PIV is a method to derive velocities from fluids. It uses cross-correlations between two images to estimate a displacement. And these cross-correlations are what you see in the animation. Each correlation has a small yellow peak. The distance from the centre of the matrix to this peak actually tells you the speed of your fluid at a specific point! The small black circle is from the peak finding algorithm - it locates the peak with sub-pixel accuracy. This is how a PIV software calculates all the vectors.
The matrices were calculated with PIVlab in MATLAB. They were also rendered to a movie file in MATLAB.
My PIV tool: pivlab.blogspot.com
More info on PIV: en.wikipedia.org/wiki/Particle_image_velocimetry
Music: Cliverpool by Pierlo is licensed under a Attribution-Noncommercial-Share Alike 2.5 Italy License.
