Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/11767
Título: Regularization of 3D cylindrical surfaces
Autores/as: Alvarez, Luis 
Cuenca Hernández, Carmelo 
Sánchez, Javier 
Clasificación UNESCO: 220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120326 Simulación
Fecha de publicación: 2003
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 1st Iberian Conference on Pattern Recognition and Image Analysis 
Resumen: In this paper we present a method for the regularization of 3D cylindrical surfaces. By a cylindrical surface we mean a 3D surface that can be expressed as an application S(l; µ) ! R3 , where (l; µ) represents a cylindrical parametrization of the 3D surface. We built an initial cylindrical parametrization of the surface. We propose a new method to regularize such cylindrical surface. This method takes into account the information supplied by the disparity maps computed between pair 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 difference between the image coordinates and the disparity maps and a second term that enables a regularization by means of anisotropic diffusion. One interesting advantage of this approach is that we regularize the 3D surface by using a bi-dimensional minimization problem.
URI: http://hdl.handle.net/10553/11767
ISBN: 3-540-40217-9
ISSN: 0302-9743
Fuente: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 2652, p. 37-44
Derechos: by-nc-nd
Colección:Artículos
miniatura
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