Solving the stiff problem in computer vision by trade-off optimization

Abstract

The effect of stiffness in a general solution of the linear inverse problem is discussed, and a method is proposed to deal with this problem. It uses tradeoff by tradeoff optimization between the resolution and variance of solution to keep them both small, by applying a group of optimal weights on the singular values of the operator. The reliability of the estimated motion parameters is improved significantly.<>