DaSielhorst

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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.




ProjectForm
Title: High Accuracy Tracking for Medical Augmented Reality
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.
Student: Tobias Sielhorst
Director: Gudrun Klinker
Supervisor: Ali Khamene, Ph.D. (Siemens Corporate Research)
Type: DA/MA/BA
Status: finished
Start:  
Finish: 2003/10/24


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