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In geometrical camera calibration, the objective is to determine a set of camera parameters that describe the mapping between 3D references coordinates and 2D image coordinates. In this paper, a technique of calibration and tracking based on both a least squares method is presented and a correlation technique developed as part of an augmented reality system. This approach is fast and it can be used for a real time system. The term Augmented Reality (AR) is used to describe systems that blend computer generated virtual objects with real environments. AR is defined as a technology in which a user's view of the real world is enhanced or augmented with additional information generated by a computer.
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