Nonlinear Optimization for the Recognition of Discrete Linear Objects

In this paper, we aim to formulate the recognition of a linear manifold from a discrete point set as a nonlinear optimization problem, and we prove a uniqueness theorem for the solution of this problem. We also develop an algorithm for the computation of parameters of the Euclidean linear manifold from pixels and voxels on a plane and in a space, respectively.