4d plot in order to create a surface with density from 4 vectors ( coordinates of the dots). X, Y, Z and C is the color.
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Hi,
I wanto to create a 4d plot, like isosurface. The data is attached. 4 vectors, xyz and color.
The problem is that I only have 4 vectors, XYZ is position in the space which creates the object and c is the color of that point.
I am kind of lost. Maybe I need to use meshgrid but the vectors has 37k points.
Thanks
Accepted Answer
Akira Agata
on 21 Oct 2019
OK. Then, how about the following?
% Load data
load('object.mat')
% Create meshgrid
[xq, yq, zq] = meshgrid(min(x):5:max(x),min(y):5:max(y),min(z):5:max(z));
% Assign data to the grid point
cq = nan(size(xq));
[~, pos] = ismember([x,y,z],[xq(:),yq(:),zq(:)],'rows');
cq(pos) = c;
% Find boundary points location
k = boundary(x,y,z,1);
% Create isosurface levels and color
N = 8;
color = jet(N);
v = linspace(min(c),max(c),N);
% Visualize the result
figure
hold on
for kk = 1:N
p = patch(isosurface(xq,yq,zq,cq,v(kk)),...
'FaceColor', color(kk,:),...
'EdgeColor', 'none',...
'FaceAlpha', 0.2);
isonormals(xq,yq,zq,cq,p)
end
trisurf(k,x,y,z,...
'Facecolor', 'b',...
'FaceAlpha', 0.1,...
'Edgecolor', 'none')
view(120,30);
camlight('headlight')
lighting gouraud
grid on
2 Comments
More Answers (1)
Akira Agata
on 19 Oct 2019
How about simply using scatter3 function, like:
load('object.mat')
figure
scatter3(x,y,z,[],c,'.')
colorbar
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