Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/54384
Title: 3D geometry reconstruction from a stereoscopic video sequence
Authors: Salgado de la Nuez, Agustín 
Sánchez, J. 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: Optical flow
Temporal constraint
Fundamental matrix
Stereo camera
Epipolar geometry
Issue Date: 2005
Journal: Lecture Notes in Computer Science 
Conference: 2nd International Conference on Image Analysis and Recognition 
2nd International Conference on Image Analysis and Recognition, ICIAR 2005 
Abstract: The aim of this work is to propose a method for recovering the 3D geometry of a video sequence taken from a pair of stereo cameras. The cameras are rigidly situated in a fixed position and there are some objects which are moving in front of them. Our method estimates the displacements of objects and the 3D structure of the scene. We establish a temporal constraint that relates the computation of the optical flow and the estimation of disparity maps. We use an energy minimisation approach that yields a system of partial differential equations (PDE) which is solved by means of a gradient descent technique.
URI: http://hdl.handle.net/10553/54384
ISBN: 3-540-29069-9
9783540290698
ISSN: 0302-9743
DOI: 10.1007/11559573_75
Source: Kamel M., Campilho A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656, p. 609-616. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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