Choose representatives of the first points. The general-position condition says that these vectors form a basis of . Write a representative of the last point as . Every is nonzero; otherwise the last point and the other basis points would lie in a hyperplane. Rescaling by gives representatives with . Normalize representatives of the second frame in the same way.
There is a unique invertible linear map with for . It also maps to , so its projectivization has the required effect. For uniqueness, the quotient of two candidate projective transformations fixes the normalized frame. A representing matrix must be diagonal in the basis, with entries . Fixing forces all to be equal. Such a scalar represents the identity projective transformation. Thus the ordered projective frame determines the transformation uniquely.

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