Robustizing robust M-estimation using deterministic annealing

Pattern Recognition

Volumn 29, Issue 1, 1996, Pages 159-166

  Li, S Z ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Annealing; M estimator; Pattern recognition; Robust statistics

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; IMAGE PROCESSING; PARAMETER ESTIMATION; PERFORMANCE; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS;

ANNEALING M-ESTIMATOR; DETERMINISTIC ANNEALING; IMAGE MODEL; INITIALIZATION; MEDIAN OF ABSOLUTE DEVIATION; NOISE VARIANCE; OUTLIERS;

PATTERN RECOGNITION;

EID: 0029775464     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(95)00071-2     Document Type: Article

References (25)

1. R. L. Kashyap and K. N. Eom, Robust image modeling techniques with their applications, IEEE Trans. Acoust. Speech Signal Process 36(8), 1313-1325 (1988).
2. D. Shulman and J. Y. Herve, Regularization of discontinuous flow fields, Proc. Workshop Vis. Motion, 81-86 (1989).
3. P. Huber, Robust Statistics. Wiley, New York (1981).
4. R. Stevenson and E. Delp, Fitting curves with discontinuities, Proc. Intl. Workshop Robust Comput. Vis. pp. 127-136. Seattle, Washington, 1-3 October (1990).
5. P. J. Besl, J. B. Birch and L. T. Watson, Robust window operators, Proc. Second Int. Conf. Comput. Vis. pp. 591-600. Florida, December (1988).
6. R. M. Haralick, H. Joo, C. N. Lee, X. Zhuang, V. G. Vaidya and M. B. Kim, Pose estimation from corresponding point data, IEEE Trans. Syst. Man Cybernet. 19, 1426-1446 (1989).
7. R. Kumar and A. R. Hanson, Robust estimation of camera location and orientation from noisy data having outliers, Proc. Workshop Interpret. Three-Dimens. Scenes 52-60 (1989).
8. X. Zhuang, T. Wang and P. Zhang, A highly robust estimator through partially likelihood function modeling and its application in computer vision, IEEE Trans. Pattern Anal. Mach. Intell. 14 (1992).
9. J. M. Jolion, P. Meer and S. Bataouche, Robust clustering with applications in computer vision, IEEE Trans. Pattern Anal. Mach. Intell. 13, 791-802 (1991).
10. K. L. Boyer, M. J. Mirza and G. Ganguly, The robust sequential estimator: A general approach and its application to surface organization in range data, IEEE Trans. Pattern Anal. Mach. Intell. 16(10) (October 1994).
11. R. M. Haralick, ed. Proc. Int. Workshop Robust Comput. Vis. Seattle, Washington, October 1-3 (1990).
12. W. Forstner and S. Ruwiedel, eds, Robust computer vision-quality of vision algorithms, Proc. 2nd Int. Workshop Robust Comput. Vis. Karlsruhe, Germany, March 10-12 (1992).
13. S. Z. Li, Discontinuity-adaptive MRF prior and robust statistics: A comparative study. Image and Vision Comput. 13(4), 227-233 (1995).
14. P. Meer, D. Mintz, A. Rossenfeld, and D. Y. Kim, Robust regression methods for computer vision: A review, Int. J. Comput. Vis. 6, 59-70 (1991).
15. A. Stein and M. Werman, Robust statistics in shape fitting, Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognition 540-546 (1992).
16. R. H. Myers, Classical and Modern Regression with Applications. PWS-Kent Publishing Company (1990).
17. S. Kirkpatrick, C. D. Gellatt and M. P. Vecchi, Optimization by simulated annealing, Science 220, 671-680 (1983).
18. S. Geman and D. Geman, Stochastic relaxation, Gibbs distribution and the Bayesian restoration of images, IEEE Trans. Pattern Anal. Mach. Intelli. 6(6), 721-741 (November 1984).
19. D. H. Ackley, G. E. Hinton and T. J. Sejnowski, A learning algorithm for Boltzmann machines, Cognit. Sci. 9, 147-169 (1985).
20. J. W. Tukey, Exploratary Data Analysis. Addison-Wesley, Reading, Massachusetts (1977).
21. S. Z. Li, On discontinuity-adaptive smoothness priors in computer vision, IEEE Trans. Pattern Anal. Mach. Intell. 17, 576-586 (1995).
22. A. Blake and A. Zisserman, Visual Reconstruction. MIT Press, Cambridge. Massachusetts (1987).
23. J. J. Hopfield, Neurons with graded response have collective computational properties like those of two state neurons, Proc. Nat. Acad. Sci. USA 81, 3088-3092 (1984).
24. C. Koch, J. Marroquin and A. Yuille, Analog 'neuronal' networks in early vision, Proc. Nat. Acad. Sci. USA 83, 4263-4267 (1986).
25. A. Witkin, D. T. Terzopoulos and M. Kass, Signal matching through scale space, Int. J. Comput. Vis. 133-144 (1987).