Cylindrical object reconstruction from a sequence of images

Marc Viala; Christian Faye; Jean-Pierre Guerin; Didier Juvin

doi:10.1117/12.131650

1 November 1992 Cylindrical object reconstruction from a sequence of images

Marc Viala, Christian Faye, Jean-Pierre Guerin, Didier Juvin

Proceedings Volume 1828, Sensor Fusion V; (1992) https://doi.org/10.1117/12.131650
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

Marc Viala, Christian Faye, Jean-Pierre Guerin, and Didier Juvin "Cylindrical object reconstruction from a sequence of images", Proc. SPIE 1828, Sensor Fusion V, (1 November 1992); https://doi.org/10.1117/12.131650

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