subject: computer vision

The projection matrix can be estimated as a solution to Av = 0 The solution lies in the null space of A the set of all vectors that satisfies = . + =min( , ) Case 1: If rank(A) = 11, the solution to v is unique up to a scaling factor Estimate v by performing SVD on A

The projection matrix can be estimated as a solution for a=0. When rank(A) = 11, v can be estimated by performing SVD on =T. Prove that v is the last column of the V matrix with an unknown scalar.