The AR Apprenticeship: Replication and Omnidirectional Viewing of Subtle Movements

Authors:
Tobias Sielhorst;Jorg Traub;Nassir Navab
Affiliations:
Technische Universität München;Technische Universität München;Technische Universität München
Venue:
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Year:
2004

Citing 2
Cited 2

Analysis of Head Pose Accuracy in Augmented Reality

IEEE Transactions on Visualization and Computer Graphics
Single Camera Tracking of Marker Clusters: Multiparameter Cluster Optimization and Experimental Verification

ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality

Synchronizing 3D Movements for Quantitative Comparison and Simultaneous Visualization of Actions

ISMAR '05 Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality
Calibration Errors in Augmented Reality: A Practical Study

ISMAR '05 Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose an AR system that learns from the expert by tracking his movements while he/she uses a simulator or performs a real (often complicated) task. This information is reproduced for demonstration to students in an enhanced simulator. By simultaneous visualization and comparison of the experts and students performance, direct feedback is provided. We propose real-time recording of instruments' tracking data of expert's actions for latter replication in an AR system for teaching purposes. The movements are recorded relative to an existing physical simulator. By this means the student can view the subtle movements from any direction repeatedly without time limits of the expert in order to learn and improve his own performance.