High Accuracy Tracking for Medical Augmented Reality
Bearbeiter: Tobias Sielhorst
Aufgabensteller: Prof. Gudrun Klinker Ph.D.
Betreuer: Ali Khamene, Ph.D. (Siemens Corporate Research)
Abgabedatum: 24.10.2003
Abstract
Augmented Reality is an emerging technology combining virtual
reality media with perception of reality in order to present information
in a very intuitive way. This young technology offers a wide
range of use from supporting any professionals in performing complex
actions to mere entertainment. One of the major problems is tracking
the user’s position for projecting virtual objects in the expected
place. There are several different tracking techniques with different advantages
and drawbacks. In the environment of medical Augmented
Reality a way of tracking is needed that yields high and dependable
accuracy and robustness while a large spatial range may be neglected.
For this purpose the RAMP Project at Siemens Corporate Research
takes advantage of visual inside-out tracking of a single camera. In this
thesis it will be shown how the needs can be met. Instead of tracking
natural markers in images, artificial landmarks are introduced into the
setup. By choosing a very simple shape for these fiducials the image
has less complexity which enhances robustness of the algorithms and
allows for fast computation time. Fast calculation allows for adding
more redundancy for more accuracy. As a drawback of the simple
fiducials new algorithms had to be created in order to extract implicit
information about visibility, partial occlusion and identification
of each fiducial.