A Method for Fast Initialization of Markerless Object Tracking

In Mixed Reality (MR) Environments, the user’s view is augmented with virtual, artificial objects. To visualize virtual objects, the position and orientation of the user’s view or the camera is needed. Tracking of the user’s viewpoint is an essential area in MR applications, especially for interaction and navigation. In present systems, the initialization is often complex. For this reason, we introduce a new method for fast initialization of markerless object tracking. This method is based on Speed Up Robust Features and paradoxically on a traditional markerbased library. Most markerless tracking algorithms can be divided into two parts: an offline and an online stage. The focus of this paper is optimization of the offline stage, which is often time-consuming.

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