Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/52765
Título: Combining two methods to accurately estimate dense disparity maps
Autores/as: Salgado de la Nuez, Agustín 
Sanchez, Javier 
Clasificación UNESCO: 220990 Tratamiento digital. Imágenes
Palabras clave: Disparity map
Optical flow
Stereoscopic vision
Fecha de publicación: 2007
Conferencia: 2nd International Conference on Informatics in Control, Automation and Robotics (ICINCO 2005) 
Resumen: The aim of this work is to put together two methods in order to improve the solutions for the problem of 3D geometry reconstruction from a stereoscopic pair of images. We use a method that we have developed in recent works which is based on an energy minimisation technique. This energy yields a partial differential equation (PDE) and is well suited for accurately estimating the disparity maps. One of the problems of this kind of techniques is that it depends strongly on the initial approximation. For this reason we have used a method based on graph–cuts which has demonstrated to obtain good initial guess.
URI: http://hdl.handle.net/10553/52765
ISBN: 978-1-4020-5625-3
Fuente: Filipe J., Ferrier JL., Cetto J.A., Carvalho M. (eds) Informatics in Control, Automation and Robotics II. Springer, Dordrecht
Colección:Actas de congresos
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