Markerless Augmented Reality Using Image Mosaics
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
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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).