Recent Advances in Augmented Reality
IEEE Computer Graphics and Applications
Presence: Teleoperators and Virtual Environments
Robust Visual Tracking for Non-Instrumented Augmented Reality
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Real time tracking of high speed movements in the context of a table tennis application
Proceedings of the ACM symposium on Virtual reality software and technology
A Hybrid and Linear Registration Method Utilizing Inclination Constraint
ISMAR '05 Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality
Real-Time Interaction with a Humanoid Avatar in an Immersive Table Tennis Simulation
IEEE Transactions on Visualization and Computer Graphics
SVR-Based Jitter Reduction for Markerless Augmented Reality
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Technical Section: A generalized registration method for augmented reality systems
Computers and Graphics
Trajectory mapping for landmine detection training
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
| Hi-index | 0.00 |
In augmented reality (AR) systems using head-mounted displays (HMD's), it is important to accurately sense the position and orientation (pose) of the user's head with respect to the world, in order that graphical overlays are drawn correctly aligned with real world objects. It is desired to maintain registration dynamically (while the person is moving their head) so that the graphical objects will not appear to lag behind, or swim around, the corresponding real objects. We present an adaptive method for achieving dynamic registration which accounts for variations in the magnitude of the users head motion, based on a multiple model approach. This approach uses the extended Kalman filter to smooth sensor data and estimate position and orientation.