ISSN : 1796-2048
Volume : 3    Issue : 4    Date : October 2008

A Robust Circular Fiducial Detection Technique and Real-Time 3D Camera Tracking
Fakhreddine Ababsa and Malik Mallem
Page(s): 34-41
Full Text:
PDF (818 KB)

In this paper a new marker-based approach is presented for 3D camera pose tracking in indoor
Augmented Reality (AR). We propose to combine a circular fiducials detection technique with a
particle filter to incrementally compute the camera 3D pose parameters. In order to deal with partial
occlusions, we have implemented an efficient method for fitting ellipse to scattered data. So even
incomplete data will always return an ellipse corresponding to the visible part of the fiducial image.
The other advantage of our approach comparing to the related camera pose estimation works is its
capacity to naturally discard outliers which occur because of image noises. Results from real data
in an augmented reality setup are presented, demonstrating the efficiency and robustness of the
proposed method.

Index Terms
Augmented Reality, Camera tracking, Circular fiducial, Particle filter