Ideal grid for interpolation based on query points
2 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Tintin Milou
am 20 Mai 2023
Beantwortet: Image Analyst
am 21 Mai 2023
Hello,
My query points for a 2D interpolation are shown in this scatter plot.
Each of these points has a corresponding function value. It is quite costly to evaluate this function.
So my idea is to only evaluate the function for a small subsets of data points and then interpolate the remaining data points.
My question: Is there an efficient way to set up my grid?
Of course, I could use something like
x = linspace(min(xq(:)),max(xq(:)),10) ;
y = linspace(min(yq(:)),max(yq(:)),10) ;
[X,Y] = meshgrid(x,y) ;
And get something like this
But that does not seem to be the best grid given that some of these gridpoints are not anywhere close to the query points.
Tahnks!
0 Kommentare
Akzeptierte Antwort
Image Analyst
am 21 Mai 2023
@Tintin Milou I don't know why you keep forgetting, or refusing, to attach your data. And I don't know why you want to use a subset of your data. A few million points does not seem like an enormous amount of data. After all, a typical digital image from a camera could be 25 million points. Have you tried it and it just takes way too long?
0 Kommentare
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Interpolation finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!