Comparing unscented and extended Kalman filter algorithms in the rigid-body point-based registration

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 497-500

  Moghari, Mehdi Hedjazi ^a   Abolmaesumi, Purang ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; IMPLANTS (SURGICAL); KALMAN FILTERS; ORTHOPEDICS; REAL TIME SYSTEMS;

EXTENDED KALMAN FILTER (EKF); POINT-BASED REGISTRATION; RIGID REGISTRATION; UNSCENTED KALMAN FILTER (UKF);

IMAGE REGISTRATION;

ALGORITHM; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED SURGERY; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING;

ALGORITHMS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SURGERY, COMPUTER-ASSISTED;

EID: 34047145048     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260769     Document Type: Conference Paper

References (12)

1. P. H. Schönemann, A generalized solution of the orthogonal procrustes problem, Psychometrika J., vol. 31, 1966, pp 1-10.
2. G. Golub, and C. van Loan, Matrix computations, John Hopkins Univ. Press, Baltimore, MD; 1983.
3. K. S. Arun, and T. S. Huang, and S. D. Blostein, Least squares fitting of two 3D point sets, IEEE Trans. on Pattern Analysis and Machine Inteligence, vol. 9, 1987, pp 698-700.
4. B. K. P. Horn, Closed-form solution of absolute orientation using unit quaternions, Optical Society of America J., vol. 5, no. 7, 1988, pp 1127-1135.
5. B. K. P. Horn, and H. M. Hilden, and S. Negahdaripour, Closed-form solution of absolute orientation using orthonormal matrices, Optical Society of America J., vol. 4, no. 7, 1987, pp 629-642.
6. M. W. Walker, and L. Shao, and R. A. Volz, Estimating 3-D location parameters using dual quaternioins, CVGIP: Image Undrestanding, vol. 54, no. 3, 1991, pp 358-367.
7. A. Lorusso, and D. W. Eggert, and R. B. Fisher, "A comparison of four algorithms for estimating 3-D rigid transformations", British Machine Vision Conference, Birmingham, England, 1995, pp. A20.
8. X. Pennec and J P. A frame work for uncertaity and validation of 3D registration methods based on points and frames, Comp. Vis. J., vol. 25, no. 3, 1997, pp 203-229.
9. E. A. Wan, and R. Van Der Merwe, "The unscented Kalman filter for nonlinear estimation", Adaptive Systems for Signal Processing, Communications, and Control Symposium, 2000, pp.153-158.
10. Simon. J. Julier and J. K. Uhlmann, Unscented Filtering and Nonlinear Estimation, Proceeding of the IEEE, vol. 92, no. 3, 2004, pp. 01-422.
11. J. M. Fitzpatrick, and J. B. West, The distribution of target registration error in rigid-body point-based registration, IEEE Transactions on Medical Imaging, vol. 20, no. 9, 2004, pp. 917-927.
12. S. J. Julier, and J. K. Uhlmann, "The Scaled Unscented Transformation", Proceedings of the IEEE American Control Conference, Anchorage AK, USA, 2002, pp. 4555-4559.