Compute 3D distance between 32 points
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I have encountered the following problem: I have to divide a square with L=12 in 4x4 smallers squares and find the center point of each small square. This will represent surface 1 and then i have to do the exact thing for surface 2.
Now, i have to compute the distances between each center of surface 1 and each center of the surface 2. So i will have a total of 256 distances. How do i do that ? Check out the photos.

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Kevin Phung
el 11 de En. de 2019
The distance beween two points, p1 and p2, in 3d space is the square root of (x2 - x1)^2 + (y2-y1)^2 + (z2-z1)^2.
So let's have 2 matrices representing the centerpoints in surface 1 and two:
s1 = [p1x p1y p1z
p2x p2y p2z
p3x p3y p3z];
s2 = [p1x p1y p1z
p2x p2y p2z
p3x p3y p3z];
Where each column represents the x,y, and z components of a point. Then just sum the squares of the differences and take the square root
d= s2-s1;
sq = d.^2;
distance = sqrt(sum(sq,2)) % sum up along the row elements
You should be returned with a vector containing the distances between each pair of points from the two surfaces
2 comentarios
Akira Agata
el 12 de En. de 2019
Or, if you have Statistics and Machine Learning Toolbox, pdist2 function will be some help.
Mihai Rares Sandu
el 12 de En. de 2019
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