Robust Camera Tracking for Augmented Reality Combining Orthogonal Iteration and RANSAC Algorithms

Fakhr-Eddine Ababsa (1) , Malik Mallem (1)

1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes

This paper presents a robust vision-based solution for camera pose tracking that can handle large camera displacements, drastic aspect changes, and partial occlusions. It is based on tracking calibrated fiducials. A RANSAC approach is used for robust matching in the presence of outliers to deal with partial occlusions. The camera location is computed dynamically using the Orthogonal Iteration (OI) Algorithm. Some experimental results are presented and discussed.

Mots clés: Augmented Reality; Fiducials tracking; Orthogonal Iteration; RANSAC

Domaines: Informatique ubiquitaire; Interface homme-machine [cs.HC]; Multimédia [cs.MM]; Synthèse d'image et réalité virtuelle [cs.GR]; Architectures Matérielles [cs.AR]; Robotique [cs.RO]

Fakhr-Eddine Ababsa, Malik Mallem. Robust Camera Tracking for Augmented Reality Combining Orthogonal Iteration and RANSAC Algorithms. 13th International Conference on Systems, Signals and Image Processing (IWSSIP 2006), 2006, Budapest, Hungary. pp.29--33. ⟨hal-00339446⟩