Stable Real-time AR Framework for Training and Planning in Industrial Environments

Vacchetti, L., Lepetit, V., Ponder, M., Papagiannakis, G., Fua, P., Thalmann, D., Magnenat-Thalmann, N.,  “Stable Real-time AR Framework for Training and Planning in Industrial Environments”, Virtual Reality and Augmented Reality Applications in Manufacturing, Ong, S. K., Nee, A.Y.C. (eds), pp.125-142, ISBN: 1-85233-796-4, Springer-Verlag, 2004

Abstract:

Augmented Reality systems can be effectively used to enhance manufacturing and indus- trial 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 render- ing 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. [PDF]