Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
A new autocalibration algorithm has been recently presented by Mendon¸ca and Cipolla which is both simple and nearly globally convergent. Analysis of convergence is missing in the...
We present a practical, stratified autocalibration algorithm with theoretical guarantees of global optimality. Given a projective reconstruction, the first stage of the algorithm ...