Abstract. For some years, we have been able to integrate virtual humans into virtual environments. As the demand for Augmented Reality systems grows, so will the need for these synthetic humans to coexist and interact with humans who live in the real world. In this paper, we use the example of a checkers game between a real and a virtual human to demonstrate the integration of techniques required to achieve a realistic-looking interaction in real-time. We do not use cumbersome devices such as a magnetic motion capture system. Instead, we rely on purely image-based techniques to address the registration issue, when the camera or the objects move, and to drive the virtual human's behavior.
Augmented Reality systems can be effectively used to enhance manufacturing and industrial processes. However, not all the existing prototypes of AR systems can be used in industrial environment, due to heavy constraints such as low robustness or cumbersome equipment. Our Augmented Reality system relies on purely passive techniques to solve the real-time registration problem and it can run on a portable PC. We combine a powerful VR component-based simulation framework with Computer Vision techniques, turning it into an Augmented Reality system. The resulting system allows us to produce complex rendering and animation of avatars, and to blend them into the real world. The system tracks the 3D camera position by means of a natural features tracker, which, given a rough CAD model, can deal with complex 3D objects. The tracking method is robust and can handle large camera displacements and aspect changes. The target applications of our AR system are industrial maintenance, repair and training. The tracking robustness makes the AR system able to work in real environments such as industrial facilities and not only in the laboratory.
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