This work introduces a novel approach to the precise estimation, in real-time, of pose parameters of planar three-dimensional object. A suitable set of coplanar marks is used to calculate the tilt and pan angles values of the planar object. Feature points are calculated with subpixel accuracy and a weighted approach is applied to reduce variations in feature points positions due to noise. An application of this method is also shown for virtual TV sets.
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