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