Title of article :
Reality Augmentation for Medical Procedures: System Architecture,
Single Camera Marker Tracking, and System Evaluation
Author/Authors :
Sebastian Vogt، نويسنده , , ALI KHAMENE AND FRANK SAUER، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Abstract :
Augmented Reality is an emerging technology that seeks to enhance a user’s view by overlaying
graphical information. We developed a prototype AR system geared for medical applications. It is built around
a stereoscopic head-mounted display of the video-see-through variety. The newest generation of this prototype
system exhibits high performance on a standard PC platform. Stereoscopic video images are augmented with
medical graphics in real-time at 30 frames per second and with XGA (1024×768) resolution. The system provides
a compelling AR perception: the graphics appears firmly anchored in the scene—there is no time lag between video
and graphics or any apparent jitter of the graphics.With the head-mounted display, the user has a natural and direct
access to understanding the 3D structure of the scene, based on both stereo and kinetic depth cues. In the present
paper, we describe in detail the architecture and several features of the AR prototype system. Head tracking is
accomplished with a single-camera system, with the dedicated tracker camera placed on the head-mounted display.
This configuration is the foundation of achieving a high-accuracy graphics overlay.We are now exploring the use of
the prototype system for a variety of medical applications. This paper gives an overview over the pre-clinical tests
that we have performed for interventional guidance. Overall, the feedback has been very positive and encouraging,
and we are continuing to work towards realizing the clinical potential of the technology.
Keywords :
Computer assisted surgery , AR system architecture , Real-time system , AUGMENTED REALITY , in-situ visualization , single cameramarker tracking
Journal title :
INTERNATIONAL JOURNAL OF COMPUTER VISION
Journal title :
INTERNATIONAL JOURNAL OF COMPUTER VISION