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http://hdl.handle.net/10553/54384
| Título: | 3D geometry reconstruction from a stereoscopic video sequence | Autores/as: | Salgado de la Nuez, Agustín Sánchez, J. |
Clasificación UNESCO: | 220990 Tratamiento digital. Imágenes | Palabras clave: | Optical flow Temporal constraint Fundamental matrix Stereo camera Epipolar geometry |
Fecha de publicación: | 2005 | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 2nd International Conference on Image Analysis and Recognition 2nd International Conference on Image Analysis and Recognition, ICIAR 2005 |
Resumen: | 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 | Fuente: | Kamel M., Campilho A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656, p. 609-616. Springer, Berlin, Heidelberg |
| Colección: | Actas de congresos |
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