Extracting a subset from the Faces and Vertices

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Mark Kamps
Mark Kamps el 26 de En. de 2022
Editada: Matt J el 26 de En. de 2022
Hello all,
I have a optimimzation problem which I could use some help with. Suppose I have the following data:
% cleaning
close all; clearvars; clc;
% Vertices
ii = 1;
Vertices = zeros(121,2);
for n = 1 : 11
for p = 1 : 11
xCoord = 0.1 * (n-1);
yCoord = 0.1 * (p-1);
Vertices(ii,:) = [xCoord yCoord];
ii = ii + 1;
clear xCoord yCoord
end; clear p
end; clear n ii
% Faces
ii = 1;
Faces = zeros(100,4);
for n = 1 : 10
for p = 1 : 10
Faces(ii,:) = [n+((p-1)*11) n+1+((p-1))*11 n+1+(p*11) n+(p*11)];
ii = ii + 1;
end; clear p
end; clear n ii
% FacesSub
ii = 1;
FacesSub = zeros(16,4);
for n = 4 : 7
for p = 4 : 7
FacesSub(ii,:) = [n+((p-1)*11) n+1+((p-1))*11 n+1+(p*11) n+(p*11)];
ii = ii + 1;
end; clear p
end; clear n ii
% Gives the following surface
figure; axis equal; hold on;
patch('Faces',Faces,'Vertices',Vertices,'FaceAlpha',0.05,'FaceColor','Green')
patch('Faces',FacesSub,'Vertices',Vertices,'FaceAlpha',0.05,'FaceColor','Blue')
% ABOVE CODE IS JUST TO SHOW THE ISSUE. HOWEVER, THE FORMAT IS EQUAL TO THE ACTUAL DATA.
% THIS IS THE INPUT DATA THAT I WORK WITH. I CANNOT EASILY CHANGE THE ABOVE CODE.
As seen from the figure; I have a larger Faces and Vertices surface. This is all fine. I also have a smaller subset of this data; (FacesSub). I can plot this data easily, by including the full set of the Vertices. However, I want to split this as well.
I want to create a VerticesSub which contains only the subset points, and a FacesSub, which contains the faces for only these points:
% Now I can extract the correct indices from the FacesSub
Indices = unique( reshape(FacesSub , [numel(FacesSub),1]) );
% And from this determine the Subset of the Vertices
VerticesSub = Vertices(Indices,:);
Now I have the reduced subset of the Vertices; VerticesSub, and the reduced subset of the Faces; FacesSub. However, they do not work together since the indices inside the FacesSub do not correspond to the VerticesSub. Therefore, using Patch will fail.
I can adjust for this by doing:
% Ugly and slow, but functional solution:
for n = 1 : size(Indices,1)
FacesSub( FacesSub == min(min(FacesSub(FacesSub >= n))) ) = n;
end; clear n
% Check the solution
figure; axis equal;
patch('Faces',FacesSub,'Vertices',VerticesSub,'FaceAlpha',0.05,'FaceColor','Blue')
Which basically loops over all values in the FacesSub, finds the minimum value, and sets it to the correct value. This works, but it is very slow for larger datasets. I am completely stuck in improving this. Can anyone help me with this?
Kind regards, Mark

Respuesta aceptada

Matt J
Matt J el 26 de En. de 2022
Editada: Matt J el 26 de En. de 2022
[m,n]=size(FacesSub);
[Indices,~,FacesSub]=unique(FacesSub);
FacesSub=reshape(FacesSub,m,n);
VerticesSub = Vertices(Indices,:);

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