Sobre algunos problemas reales en visión por ordenador que conducen a sistemas de ecuaciones algebraicos

[EN] In this paper we present some real problems which appear in computer vision which yields to nonlinear system of algebraic equations. We study the problem of camera calibration. Roughly speaking camera calibration consists in looking at the camera position in the 3- D world using as information the projection of a 3- D Scene in a 2-D plane (the photogram). The problem is quite different when we use a single view or several views (stereo vision) of the 3-D scene. We will show in this paper how these problems yields to nonlinear algebraic system of equations.

Regularizing a set of unstructured 3D points from a sequence of stereo images

[EN] In this paper we present a method for the regularization of a set of unstructured 3D points obtained from a sequence of stereo images. This method takes into account the information supplied by the disparity maps computed between pairs of images to constraint the regularization of the set of 3D points. We propose a model based on an energy which is composed of two terms: an attachment term that minimizes the distance from 3D points to the projective lines of camera points, and a second term that allows for the regularization of the set of 3D points by preserving discontinuities presented on the disparity maps. We embed this energy in a 2D finite element method. After minimizing, this method results in a large system of equations that can be optimized for fast computations. We derive an efficient implicit numerical scheme which reduces the number of calculations and memory allocations.