AN INTERACTIVE VISION-BASED TOOL FOR MODEL-BASED SCENE CALIBRATION OF AUGMENTED REALITY ENVIRONMENTS
Bayerl P., Baratoff G.
Non-trivial Augmented Reality environments consist of a
reconfigurable set of objects whose spatial relations need to be
calibrated upon setup. Since manual measurement is tedious,
time-consuming, and error-prone if not done carefully, fully or
semi-automatic procedures are needed. We have developed a
semi-automatic vision-based scene calibration tool which allows a
user to perform this task efficiently and accurately. For each
scene object to be calibrated, the user interactively specifies
its approximate pose by aligning a 3D model of the object with its
projection in one or several camera image(s) of the scene.
Thereupon, the exact pose is automatically computed by a
combination of computer graphics and computer vision techniques.
The combined knowledge of the object model and of the initial pose
estimate allows the system to significantly improve the feature
matching and pose estimation processes. Because the latter is
based on a robust estimation method, the system performs well even
in cluttered environments where objects are partly occluded.