Given correspondences in two views the affine fundamental matrix
can be computed using orthogonal regression by minimizing

Here and . The minimization finds a hyper-plane that globally minimizes the sum of the squared perpendicular distances between and the hyper-plane.

Defining

and

it can be shown that the solution satisfies the eigenvector equation

Subhashis Banerjee 2002-02-18