An experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms

Proceedings - IEEE Virtual Reality

Volumn 2003-January, Issue , 2003, Pages 283-284

  LaViola, Joseph J ^a  

^a BROWN UNIVERSITY   (United States)

Author keywords

Equations; Interpolation; Kalman filters; Prediction algorithms; Predictive models; Quaternions; Scientific computing; Smoothing methods; Vectors; Visualization

Indexed keywords

FLOW VISUALIZATION; INTERPOLATION; KALMAN FILTERS; NATURAL SCIENCES COMPUTING; TRACKING (POSITION); VECTORS; VIRTUAL REALITY;

EQUATIONS; PREDICTION ALGORITHMS; PREDICTIVE MODELS; QUATERNIONS; SMOOTHING METHODS;

ALGORITHMS;

EID: 35148875810     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VR.2003.1191164     Document Type: Conference Paper

References (3)

1. Bowerman, Bruce J. and Richard T. O'Connell. Forecasting and Time Series: An Applied Approach. Duxbury Thomson Learning, 1993.
2. Shoemake, Ken. Animating Rotations with Quaternion Curves. In Proceedings of SIGGRAPH 85, ACM Press, 245-254, 1985.
3. Welch, Greg and Gary Bishop. An Introduction to the Kalman Filter. Technical Report TR 95-041, Department of Computer Science, University of North Carolina at Chapel Hill, 1995.