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Proceedings Paper

Cylindrical object reconstruction from a sequence of images
Author(s): Marc Viala; Christian Faye; Jean-Pierre Guerin; Didier Juvin
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Paper Abstract

This paper presents a method intended to reconstruct a scene composed of cylindrical objects, and to simultaneously estimate the position of the moving camera used to acquire the image sequence. The iterated extended Kalman filter, used to perform this task, is supplied with the discrete sequence of monocular images of the scene and a poor a priori knowledge of the camera motion between successive shooting positions. Simulations performed on synthetic scenes show a good filter behavior when a 20% camera motion uncertainty, and a 2 pixels Gaussian noise in the image are assumed. A real scene test is also presented, that shows accurate results.

Paper Details

Date Published: 1 November 1992
PDF: 14 pages
Proc. SPIE 1828, Sensor Fusion V, (1 November 1992); doi: 10.1117/12.131650
Show Author Affiliations
Marc Viala, Commissariat a l'Energie Atomique (France)
Christian Faye, ENSEA (France)
Jean-Pierre Guerin, Commissariat a l'Energie Atomique (France)
Didier Juvin, Commissariat a l'Energie Atomique (France)


Published in SPIE Proceedings Vol. 1828:
Sensor Fusion V
Paul S. Schenker, Editor(s)

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