The problem of fitting two concentric circles and spheres to data arise in computational metrology. The most commonly used criterion for this is the Least Square norm. There is also interest in other criteria, and here we focus on the use of the l1 norm, which is traditionally regarded as important when the data contain wild points. A common approach to this problem involves an iteration proces...

An algorithm for estimation of the orientation of a person’s face in a knowledge–based analysis–synthesis coder (KBASC) assuming a talking person appeared in an image sequence is described. For estimation of the orientation of a person’s face using a face model, it is assumed that the eye and mouth view lines of a perspective camera are known and the mouth position locates at the right position...

A method for the stabilization of stationary and timevarying autoregressive models is presented. The method is based on the hyperstability constrained LSproblem with nonlinear constraints. The problems are solved iteratively with Gauss-Newton type algorithm that sequentially linearizes the constraints. The proposed method is applied to simulated data in the stationary case and to real EEG data ...