Uses a geodesic Line Integral Convolution method to visualize vector
fields. The image is created beginning with a white noise that is then
convoluted along integral lines of the given vector field. That creates a
visible correlation between image pixels that lie on the same integral line.
The integral lines are calculated with an geodesic 4th or 1st order
Runge-Kutta method (that's the difference between fast mode and non-fast
mode).
In this example a potential creates the vector field. The centers of the
potential are the vertices of a point set. Keep pressing key 'a' while
clicking the left mouse button to add a vertex of type as specified at
'Vertex Type'. Click and drag single vertices to move them around.
To initiate the LIC image calculation press button 'Compute LIC Image'.
There many parameters that control the behavior of the LIC method:
| Fast (Euler) Mode |
If this switch is activated then instead of a
4th order Runge-Kutta integration a 1st order (Euler-)
method is used. |
| Convolution Width |
This specifies the "normal" width of
the convolution window in pixels that is modified with the
velocity of the vector field at every point. |
| Min. Convolution Width |
Minimum convolution window size in pixels. |
| Noise Coarseness |
As said the coarseness of the noise: value of 1
is a "noise" that has a constant color, value 0
makes the noise uncorrelated (maximal chaotic). |
| LIC Size |
The width in pixels of the LIC texture image (it
has the same height). This is not a direct measurement of
the pixels actually used for the visible element textures
but indirect it is (in some cases nearly half of the pixels
in the texture image are unused). |
The other panel named 'Grid' allows to change the diameter and
discretization of the domain.
