Identify nodes which lie within a range of 3D volumes

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I have tagged multiple different regions of a 3d plot which I want to look at data for as demonstrated by the shaded cuboids on the figure below. I then have a range of random xyz coordinates and want to identify which nodes lie within any of the boxed regions which I’ve identified. I have the vertices for each of the regions saved in an 8x3x31 double and a random dataset of xyz nodes saved as xrand, yrand and zrand to be checked.
Tagged Regions Cropped.png
I want to create a separate dataset containing only the nodes within the boxed regions. Any guidance would be great!
  1 Comment
darova
darova on 6 Aug 2019
Hi! The data you attached contains Vertices of size 8x8x31
How to define x,y,z of cuboids?
Is the question still actual?

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Answers (1)

Fabio Freschi
Fabio Freschi on 7 Aug 2019
Try this
% preallocation
idx = cell(size(Vertices,3),1);
% for each box
for i = 1:size(Vertices,3)
% find box min and max
minV = min(Vertices(:,:,i));
maxV = max(Vertices(:,:,i));
% find points in box
idx{i} = find(xrand >= minV(1) & xrand <= maxV(1) & ... % points within x range
yrand >= minV(2) & yrand <= maxV(2) & ... % points within y range
zrand >= minV(3) & zrand <= maxV(3)); % points within z range
end

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