Affine transformations are given by 2x3 matrices. We perform an affine transformation M by taking our 2D input (x y), bumping it up to a 3D vector (x y 1), and then multiplying (on the left) by M.
So if we have three points (x1 y1) (x2 y2) (x3 y3) mapping to (u1 v1) (u2 v2) (u3 v3) then we have
[x1 x2 x3] [u1 u2 u3]
M [y1 y2 y3] = [v1 v2 v3].
[ 1 1 1]
You can get M simply by multiplying on the right by the inverse of
[x1 x2 x3]
[y1 y2 y3]
[ 1 1 1].
A 2x3 matrix multiplied on the right by a 3x3 matrix gives us the 2x3 we want. (You don't actually need the full inverse, but if matrix inverse is available it's easy to use.)
Easily adapted to other dimensions. If you have more than 3 points you may want a least squares best fit. You'll have to ask again for that, but it's a little harder.
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