Minimal Conditions on Intrinsic Parameters for Euclidean Reconstruction
We investigate the constraints on the intrinsic parameters that are needed in order to reconstruct an unknown scene from a number of its projective images. Two such minimal cases are studied in detail. Firstly, it is shown that it is sufficient to know the skew parameter, even if all other parameters are unknown and varying, to obtain an Euclidean reconstruction. Secondly, the same thing can be do
