Least squares matching problems

Linear Least Squares Problems

A fundamental task in scientific computing is to estimate parameters in a mathematical model from collected data which are subject to errors. The influence of the errors can be reduced by using a greater number of data than the number of unknowns. If the model is linear, the resulting problem is then to “solve” an in general inconsistent linear system Ax = b, where A ∈ Rm×n and m ≥ n. In other ...

Least Squares Problems

Here we solve linear systems Ax = b that do not have a solution. If b is not in the column space of A, there is no x such that Ax = b. The best we can do is to find a vector y that brings left and right hand side of the linear system as close as possible, in other words y is chosen to make the distance between Ay and b as small as possible. That is, we want to minimize the distance ‖Ax − b‖2 ov...

Least Squares 3d Surface Matching

An algorithm for the least squares matching of overlapping 3D surfaces is presented. It estimates the transformation parameters between two or more fully 3D surfaces, using the Generalized Gauss-Markoff model, minimizing the sum of squares of the Euclidean distances between the surfaces. This formulation gives the opportunity of matching arbitrarily oriented 3D surfaces simultaneously, without ...

Partial Least-Squares Point Matching under Translations

We consider the problem of translating a given pattern set B of size m, and matching every point of B to some point of a larger ground set A of size n in an injective way, minimizing the sum of the squared distances between matched points. We show that when B can only be translated along a line, there can be at most m(n − m) + 1 different matchings as B moves along the line, and hence the optim...

Least Squares Image Matching for Ce604