Likelihood functions and confidence bounds for total-least-squares problems

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2000, Pages 523-530

  Nestares, Oscar ^a,b   Fleet, David J ^a   Heeger, David J ^b  

^a PALO ALTO RESEARCH CENTER   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; COMPUTER SIMULATION; COMPUTER VISION; CONSTRAINT THEORY; LEAST SQUARES APPROXIMATIONS; LINEAR EQUATIONS; MAXIMUM LIKELIHOOD ESTIMATION; MOTION COMPENSATION; PROBABILITY DISTRIBUTIONS; THREE DIMENSIONAL;

BAYESIAN BELIEF PROPAGATION; BAYESIAN TRACKING; MOTION ANALYSIS; THREE DIMENSIONAL CAMERA TRANSLATION; TOTAL LEAST SQUARES;

IMAGE ANALYSIS;

EID: 0033699468     PISSN: 10636919     EISSN: None     Source Type: Journal    
DOI: 10.1109/CVPR.2000.855864     Document Type: Conference Paper

References (21)

1. A. Bab-Hadiashar D. Suter Robust optica flow computation International Journal of Computer Vision 29 1 59 77 1998
2. R. Bracewell Two—dimensional imaging 1995 Prentice—Hall, Inc. NJ, Englewoods Cliffs
3. P. P. Gallo Properties of estimators in error-in-variables models 1982 University of North Carolina
4. G. H. Golub C. F. V. Loan An analysis of the total least squares problem SIAM J. Numer. Anal. 17 6 883 893 1980
5. S. F. Gull Maximum Entropy and Bayesian Methods 511 518 1989 Kluwer Academic Publishers Bayesian data analysis: Straight-line fitting
6. B. K. Horn B. G. Schunck Determining optical flow Artificial Intelligence 17 185 203 1981
7. B. K P. Horn Robot Vision 1986 MIT Press MA, Cambridge
8. A. D. Jepson D. J. Heeger A fast subspace algorithm for recovering rigid motion Proceedings IEEE Workshop on Visual Motion 124 131 Proceedings IEEE Workshop on Visual Motion Princenton 1991
9. A. D. Jepson D. J. Heeger Spatial Vision in Humans and Robots 39 62 1993 Cambridge University Press New York Linear subspace methods for recovering the translation direction
10. K. Kanatani Statistical Optimization for Geometric Computation: Theory and Practice 1996 Elsevier Science Amsterdam
11. Y. Kanazawa K. Kanatani Optimal line fitting and reliability evaluation IEICE Trans. Inf. & Syst. E79-D 9 1317 1322 1996
12. T. C. Koopmans D. F. Bohn N.V. Haarlem Linear Regression Analisys of Economic Time Series 1937 The Netherlands
13. M. R. Luettgen C. Karl A. S. Willsky Efficient multiscale regularization with applications to the computation of optical flow IEEE Trans. on Image Processing 3 1 41 64 1994
14. W. J. MacLean Removal of translation bias when using subspace methods Proc. of the IEEE International Conference on Computer Vision 753 758 Proc. of the IEEE International Conference on Computer Vision Greece 1999-Sept
15. O. Nestares R. Navarro Probabilistic multichannel optical flow analysis based on a multipurpose visual representation of image sequences Proceedings of the SPIE 3644 429 440 Proceedings of the SPIE San Jose CA 1999-Jan
16. L. Ng V. Solo Error-in-variables modelling in optical flow problems Proc. of the ICASSP 2773 2776 Proc. of the ICASSP Seattle 1998-May
17. N. Ohta Optical flow detection using a general noise model IEICE Trans. Inf. & Syst. E79-D 7 951 957 1996
18. E. P. Simoncelli E. H. Adelson D. J. Heeger Probability distributions of optical flow Proc. of the IEEE Conference on Computer Vision and Pattern Recognition 310 315 Proc. of the IEEE Conference on Computer Vision and Pattern Recognition Mauii Hawaii 1991-Jun
19. R. Szeliski Bayesian Modeling of Uncertainty in Low-level Vision 1989 Kluwer Academic Publishers Boston
20. S. Van Huffel J. Vandewalle The Total Least Squares Problem: Computational Aspects and Analysis 1991 Society for Industrial and Applied Mathematics (SIAM) Philadelphia
21. J. Weber J. Malik Robust computation of optical flow in a multi-scale differential framework International Journal of Computer Vision 14 67 81 1995