Interpolate Points of a 3D Point Cloud?
43 ビュー (過去 30 日間)
古いコメントを表示
I am trying to interpolate data points (x, y, z) to get a point cloud with higher density.
I have triangulation points (x-y-z coordinates) and faces from a .stl-file (imported with stlread()) that I can work with. (DATA is attached).
In the attached image you can see the given data points (BLUE) and indicated the points I want to create (RED) - but for the whole geometry and in larger numbers.
Any ideas?
2 件のコメント
採用された回答
darova
2020 年 2 月 21 日
- Use griddata to create surface
- Use contour3 to create crossection
clc,clear
load data.txt
x = data(:,1);
y = data(:,2);
z = data(:,3);
[t,r] = cart2pol(x,y);
rr = linspace(min(r),max(r),20);
tt = linspace(0,2*pi,20);
[T,R] = meshgrid(tt,rr); % new mesh
[X,Y] = pol2cart(T,R); % convert new mesh to cartesian
Z = griddata(x,y,z,X,Y); % according Z coordinates
plot3(x,y,z,'.b')
hold on
surf(X,Y,Z,'faceColor','none','edgecolor',[1 1 1]*0.8)
contour3(X,Y,Z,[34 38])
hold off
axis equal
Result
2 件のコメント
Diego Hens
2020 年 8 月 25 日
Thanks, this is going to be useful. I don't know how exactly, but it will :D
その他の回答 (1 件)
Daniel Vieira
2020 年 2 月 21 日
try the scatteredInterpolant, should work fine with these points (not so much if you had a closed surface)
2 件のコメント
Daniel Vieira
2020 年 2 月 26 日
Actually it doesn't need any function, it does exactly the same thing as griddata (others posted solutions above using it). The difference is griddata creates the interpolation over the given points and that's it, while scatteredInterpolant creates a reusable interpolator for you to use in any points you want how many times you need.
参考
カテゴリ
Help Center および File Exchange で Point Cloud Processing についてさらに検索
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!