rotate 3D plane to a new 2d coordinate system
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Hello, I have been looking for this relatively simple issue but I haven't found a simple solution.
I have extracted a plane in 3D from a visualization software, so I have a matrix of coordinates: Coor_3D= [x1 x2 x3];.
As all the points are lying on the same plane, I was wondering how can I transform the above matrix to obtain a simple one in 2D, i.e = Coor_2D=[x1' x2' 0];
Thanks
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Elena Figal
2018-1-9
Hello, I tried to recover the original 3D points from the transformation by using the same matrix T and a set of 2D points with a rows of zero and a row of 1, but my new 3D points are different from the originals, could you please help me?
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Johannes
2018-1-10
编辑:Johannes
2018-1-10
I want to know the same: Please open a new issue and let's see if someone finds the answer. Please let me know if you find something.
I am this far now:
Matt kindig does:
T = [unitx(:), unity(:), unitz(:), origin(:); 0 0 0 1];
C = [pnts, ones(N,1)]
Coor_2D = T \ C'
To recover pnts out of Coor_2D, you have to solve the equation for C and then extract pnts. I think it should be:
C = (T*Coor_2D)'
But this does not result in the correct points...any other idea?
Edit: I found the solution!
My mathematical solution was right, you just have to handle Coor_2D correctly to transform it backwards. Here's the code. You just need 2d-points (twoDpnts), the Transformation T and a row of zeros (zeros(size(twoDpnts,1)) and a row of ones (ones(size(twoDpnts,1),1)).
Coor_2D_backwards = [twoDpnts zeros(size(twoDpnts,1),1) ones(size(twoDpnts,1),1)]'
C = (T*Coor_2D_backwards)'
pnts = C(:,1:3)
Best regards
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