Augmented reality through real-time tracking of video sequences using a panoramic view

We propose a 2D approach for augmented reality (AR) applications where the real scene is modelled as a static panorama. We adapted a sparse tracking method based on homographies to track the orientation and zooming parameters of the camera during a video sequence. AR scenarii (synthetic object insertion, real object or character extraction) can be performed in arbitrary static environments (from wide outdoor scenes to virtually augmented desktops or conference rooms).