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Original Articles

A Comparison of Algorithms for Handheld Wand Tracking

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REFERENCES

  • ART. 2011a. Flystick3 wand. Available at http://www.ar-tracking.com/products/interaction-devices/flystick3/.
  • ART. 2011b. Trackpack system. Available at http://www.ar-tracking.com/products/tracking-systems/trackpack-system/.
  • Arulampalam, S. M., S. Maskell, N. Gordon, and T. Clapp. 2002. A tutorial on particle filters for on-line non-linear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing 50:174–188.
  • Azuma, R., and G. Bishop. 1994. Improving static and dynamic registration in a see-through HMD. Proceedings of SIGGRAPH 1994, 197–204. Orlando, Florida, 24–29 July.
  • Bar-Shalom, Y., and H. A. P. Blom. 1988. The interacting mutiple model algorithm for systems with Markovian switching coefficients. IEEE Transactions on Automatic Control 33:780–783.
  • Bishop, C. M. 2006. Pattern Recognition and Machine Learning. Berlin: Springer.
  • Broyden, C. G. 1969. A new double-rank minimization algorithm. Notices of the American Math Society 16:670.
  • Fletcher, R. 1970. A new approach to variable metric algorithms. The Computer Journal 13(3):317–322.
  • Goldfarb, D. 1970. A family of variable-metric methods derived by variational means. Mathematics of Computation 24:23–26.
  • Himberg, H., and Y. Motai. 2009. Head orientation prediction: Delta quaternions versus quaternions. IEEE Transactions on Systems, Man and Cybernetics–Part B 39:1382–1392.
  • Julier, S., and J. Uhlmann. 1996. A general method for approximating nonlinear transformations of probability distributions. Technical report. University of Oxford.
  • Kalman, R. 1960. A new approach to linear filtering and prediction problems. Transactions of the ASME–Journal of Basic Engineering 82:35–45.
  • LaViola Jr., J. J. 2003. A comparison of unscented and extended Kalman filtering for estimating quaternion motion. Proceedings of the 2003 American control conference 3:2435–2440. IEEE.
  • MacQueen, J. B. 1967. Some methods for classification and analysis of multivariate observations. In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Vol. 1:281–297. Berkeley, CA: University of California Press.
  • Maybeck, P. S. 1979. Stochastic models, estimation, and control, Vol. 1. Lake City, UT: Academic Press, Inc.
  • Mazor, E., A. Averbuch, Y. Bar-Shalom, and J. Dayan. 1998. Interacting multiple model methods in target tracking: a survey. IEEE Transactions on Aerospace and Electronic Systems 34(1):103–123.
  • Meyer, D., E. Dimitriadou, K. Hornik, A. Weingessel, and F. Leisch. 2012, Sept. e1071. Available at http://cran.r-project.org/web/packages/e1071/index.html.
  • Octave community. 2012. GNU/Octave. Available at http://www.gnu.org/software/octave/.
  • R Core Team. 2013. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Available at http://www.R-project.org
  • Saulson, B., and K. C. Chang. 2003. Comparison of nonlinear estimation for ballistic missile tracking. Signal Processing, Sensor Fusion, and Target Recognition XII, Proceedings of the SPIE 5096: 13–24.
  • Shanno, D. F. (1970). Conditioning of quasi-Newton methods for function minimization. Mathematics of Computation 24:647–656.
  • Sorenson, H. W. 1985. Kalman filtering: Theory and application. IEEE Press.
  • van der Merwe, R., and E. A. Wan (2012). ReBEL Toolkit. Available at http://web.cecs.pdx.edu/~ericwan/rebel-toolkit.html.
  • van Rhijn, A., R. van Liere, and J. D. Mulder. 2005. An analysis of orientation prediction and filtering methods for VR/AR. Proceedings of the 2005 IEEE Conference on Virtual Reality (VR ’05), 67–74. Germany, 12–16 March.
  • Weisstein, E. W. 2011a. Euler parameters. From MathWorld–A Wolfram Web Resource. Available at http://mathworld.wolfram.com/EulerParameters.html.
  • Weisstein, E. W. 2011b. Quaternion. From MathWorld–A Wolfram Web Resource. Available at http://mathworld.wolfram.com/Quaternion.html.
  • Welch, G., and G. Bishop. 2001. An introduction to the Kalman filter (Technical Report 95-041 University of North Carolina, Department of Computer Science).
  • Welch, G. and E. Foxlin 2002. Motion tracking: No silver bullet, but a respectable arsenal. IEEE Computer Graphics and Applications 22:24–38.

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