Integrated Navigation of Cameras for Augmented Reality

In augmented reality, the position and orientation of the camera must be estimated very accurately. This paper will propose a filtering approach, similar to integrated navigation in aircraft, which is based on inertial measurements as primary sensor on which dead-reckoning can be based, and features in the image as supporting information to stabilize the dead-reckoning. The image features are considered to be sensor signals in a Kalman filter framework. Copyright c ©2005 IFAC.