Title: Particle filter-based camera localisation using square fiducials for augmented reality applications

Authors: Fakhreddine Ababsa, Malik Mallem

Addresses: Laboratoire IBISC, CNRS FRE 2873, University d'Evry Val d'Essonne, 40 rue du Pelvoux – 91020 Evry, France. ' Laboratoire IBISC, CNRS FRE 2873, University d'Evry Val d'Essonne, 40 rue du Pelvoux – 91020 Evry, France

Abstract: This paper describes a new approach for estimating the camera pose using Particle Filter framework (PF) which is well adapted for augmented reality applications. The proposed method can robustly track the camera position and orientation using only point features defined from reference square fiducials. Given extracted image points and the previous state, the PF allows to update iteratively the camera 3D motion parameters. Results from real data in an augmented reality set-up are presented demonstrating the efficiency and robustness of the proposed method.

Keywords: augmented reality; camera pose estimation; points tracking; lines tracking; particle filter; camera localisation; square fiducials; camera tracking; image points.

DOI: 10.1504/IJSISE.2008.026793

International Journal of Signal and Imaging Systems Engineering, 2008 Vol.1 No.3/4, pp.223 - 230

Published online: 26 Jun 2009 *

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