We present a solution for automatic extraction of contour models out of polygonal CAD models. Such contour models can be used for markerless initialization and tracking purposes. To create a contour model we synthesize different views of the object using its CAD model. During the view generation we alternate the camera pose as well as light conditions in order to extract the most stable contours in terms of illumination invariance and view independence. We project the extracted 2D edges back into the 3D space and accumulate for every 3D point statistics over different views describing its visibility and stability under different illumination conditions. After filtering out all 3D points with probability below a certain threshold value we use the Euclidean Minimum Spanning Tree algorithm to get the connected contours out of the 3D point cloud. The result is a B-Spline or VRML representation of the most stable contours.

We present a solution for AR based repair guidance. This solution covers software as well as hardware related issues. In particular we developed a markerless CAD based tracking system which can deal with different illumination conditions during the tracking stage, partial occlusions and rapid motion. The system is also able to automatically recover from occasional tracking failures. On the hardware side the system is based on an off the shelf notebook, a wireless mobile setup consisting of a wide-angle video camera and an analog video transmission system. This setup has been tested with a monocular full-color video-see-through HMD and additionally with a monochrome optical-see-through HMD. Our system underwent several extensive test series under real industrial conditions and proved to be useful for different maintenance and repair scenarios.