An analysis of orientation prediction and filtering methods for VR/AR

Proceedings - IEEE Virtual Reality

Volumn , Issue , 2005, Pages 67-74

  Van Rhijn, Arjen ^a   Van Liere, Robert ^a   Mulder, Jurriaan D ^a  

^a CWI   (Netherlands)

Author keywords

Filtering; Tracking; Virtual reality

Indexed keywords

FILTRATION; PERFORMANCE; SIGNAL FILTERING AND PREDICTION; SIGNAL THEORY; TRACKING (POSITION);

ORIENTATION PREDICTION; SYNTHETIC SIGNALS; TRACKING; TRACKING INACCURACY;

VIRTUAL REALITY;

EID: 28444474630     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. R. Azuma and G. Bishop. Improving static and dynamic registration in a see-through hmd. Proceedings of SIGGRAPH'94, pages 197-204, 1994.
2. Y. Bar-Shalom and T. E. Fortmann. Tracking and Data Association. Academic Press, 1988.
3. B. Bell and F. Cathey. The iterated kalman filter update as a gaussnewton method. IEEE Transactions on Automatic Control, 38(2):294-297, 1993.
4. D. A. Bowman, E. Kruijff, J. J. LaViola Jr, and I, Poupyrev. An introduction to 3d user interface design. Presence: Teleoperators and Virtual Environments, 10(1);96-108, feb 2001.
5. L. Chai, K. Nguyen, B. Hoff, and T. Vincent. An adaptive estimator for registration in augmented reality, Second IEEE and ACM Int'l Workshop on Augmented Reality (IWAR) '99, oct 1999.
6. A. Doucet, N. J. Gordon, and V. Krishnamurthy. Particle filters for state estimation of jump markov linear systems. IEEE Transactions on Signal Processing, 49(3):613-624, 2001.
7. S. Emura and S. Tachi. Multisensor integrated prediction for virtual reality. Presence: Teleoperators and Virtual Environments, 7(4):410-422, aug 1998.
8. W. Hoff and T. Vincent. Analysis of head pose accuracy in augmented reality. IEEE Transactions on Visualization and Computer Graphics, 6(4):319-334, 2000.
9. S. J. Julier and J. K. Uhlmann. A new extension of the kalman filter to nonlinear systems. Int. Symp. Aerospace/Defense Sensing, Simulation and Controls, 1997.
10. J. I. LaViola Jr. A comparison of unscented and extended kalman filtering for estimating quaternion motion. Proc. 2003 Am. Control Conf., pages 2435 - 2440, June 2003.
11. J. Lee and S. Y. Shin. General construction of time-domain filters for orientation data. IEEE Transaction on Visualization and Computer Graphics, 2000.
12. Peter S. Maybeck. Stochastic Models, Estimation and Control, Volume 1. Academic Press, 1979.
13. R. van der Merwe, N. de Freitas, A. Doucet, and E. Wan. The unscented particle filter. In Advances in Neural Information Processing Systems 13, Nov 2001.
14. M. R. Mine. Characterization of end-to-end delays in head-mounted display systems. Technical Report TR93-001, UNC Chapel Hill, Computer Science, 1993.
15. J. D. Mulder and R. van Liere. The personal space station: Bringing interaction within reach. In S. Richer, P. Richard, and B. Taravel, editors, Proceedings of the Virtual Reality International Conference, VRIC 2002, pages 73-81, 2002.
16. A. Pole, M. West, and P. J. Harrison. Non-normal and non-linear dynamic bayesian modelling. 1988.
17. K. M. Stanney, R. R. Mourant, and R. S. Kennedy. Human factor issues in virtual environments: a review of literature. Presence: Teleoperators and Virtual Environments, 7(4):327-351, aug 1998.
18. N. Wiener. Extrapolation, Interpolation and Smoothing of Stationary Time Series with Engineering Applications. New York, Wiley, 1949.
19. J-R. Wu and M. Ouhyoung. On latency compensation and its effects on head-motion trajectories in virtual environments. The visual computer, (16):79 - 90, 2000.
20. P. Zarchan and H. Musoff. Fundamentals of kalman filtering: A practical approach. Progress in Astronautics and Aeronautics, 2000.