Utiliza este identificador para citar o vincular este elemento: http://hdl.handle.net/10553/11776
Títulos: Regularizing a set of unstructured 3D points from a sequence of stereo images
Autores/as: Álvarez León, Luis Miguel 
Cuenca Hernández, Carmelo 
Sánchez, Javier 
Clasificación UNESCO: 220990 Tratamiento digital. Imágenes
Fecha de publicación: 2003
Resumen: 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.
URI: http://hdl.handle.net/10553/11776
Derechos: by-nc-nd
Aparece en la colección:Actas de Congresos

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