Markovian segmentation and parameter estimation on graphics hardware

Journal of Electronic Imaging

Volumn 15, Issue 3, 2006, Pages

  Jodoin, Pierre Marc ^a   Mignotte, Max ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

HARDWARE PROGRAMMING; IMAGE SYNTHESIS; ITERATED CONDITIONAL MODE; ITERATIVE CONDITIONAL ESTIMATION; PROGRAMMABLE GRAPHICS HARDWARE;

ALGORITHMS; IMAGE SEGMENTATION; ITERATIVE METHODS; MARKOV PROCESSES; MOTION ESTIMATION; PARAMETER ESTIMATION; PROGRAM PROCESSORS; SIMULATED ANNEALING;

COMPUTER GRAPHICS;

EID: 33750743740     PISSN: 10179909     EISSN: 1560229X     Source Type: Journal    
DOI: 10.1117/1.2238881     Document Type: Article

References (24)

1. L. Lucchese and S. Mitra, "Color image segmentation: A state-of-the-art survey," in Proc. Indian National Science Academy, pp. 207-221 (2001).
2. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell. 6(6), 721-741 (1984).
3. J. Besag, "On the statistical analysis of dirty pictures," J. R. Stat. Soc., Ser. C, Appl. Stat. 48(3), 259-302 (1986).
4. S. Li, Markov Random Field Modeling in Computer Vision, Springer-Verlag, New York (1995).
5. C. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, Oxford (1996).
6. W. Pieczynski, "Statistical image segmentation," Mach. Graphics Vision 1(1), 261-268 (1992).
7. P. Bouthemy and P. Lalande, "Motion detection in an image sequence using Gibbs distributions," in Proc. Int'l. Conf. on Acoustics, Speech, and Signal Proc., pp. 1651-1654 (1989).
8. J. Konrad and E. Dubois, "Bayesian estimation of motion vector fields," IEEE Trans. Pattern Anal. Mach. Intell. 14(9), 910-927 (1992).
9. D. Scharstein and R. Szeliski, "A taxonomy and evaluation of dense two-frame stereo correspondence algorithms," Int. J. Comput. Vis. 47(1), 7-42 (2002).
10. "General-Purpose Computation Using Graphics Hardware," http:// www.gpgpu.org/, July 2006.
11. K. Moreland and E. Angel, "The FFT on a GPU," in Proc. Workshop Graphics Hardware, pp. 112-119 (2003).
12. J. Kruger and R. Westermann, "Linear algebra operators for GPU implementation of numerical algorithms," ACM Trans. Graphics 22(3), 908-916 (2003).
13. M. Rumpf and R. Strzodka, "Level set segmentation in graphics hardware," in Proc. Int'l. Conf. on Image Proc., Vol. 3, pp. 1103-1106 (2001).
14. C. Dumontier, F. Luthon, and J-P. Charras, "Real-time dsp implementation for mrf-based video motion detection," IEEE Trans. Image Process. 8(10), 1341-1347 (1999).
15. D. Murray, A. Kashko, and H. Buxton, "A parallel approach to the picture restoration algorithm of geman and geman on a simd machine," Image Vis. Comput. 4(3), 141-152 (1986).
16. H-H. Nagel, "Image sequence evaluation: 30 years and still going strong," in Proc. Int'l. Conf. on Pattern Recogn., pp. 1149-1158 (2000).
17. A. Mitiche and P. Bouthemy, "Computation and analysis of image motion: a synopsis of current problems and methods," Int. J. Comput. Vis. 19(1), 29-55 (1996).
18. J. Barron, D. Fleet, and S. Beauchemin, "Performance of optical flow techniques," Int. J. Comput. Vis. 12(1), 43-77 (1994).
19. M. Black and P. Anandan, "The robust estimation of multiple motions: parametric and piecewise-smooth flow fields," Comput. Vis. Image Underst. 63(1), 75-104 (1996).
20. R. Duda, P. Hart, and D. Stork, Pattern Classification, 2nd ed., Wiley-Interscience, Hoboken, New Jersey (2000).
21. S. Kirkpatrick, C. Gelatt, and M. Vecchi, "Optimization by simulated annealing," Science 220(4598), 671-680 (1983).
22. R. J. Rost, OpenGL Shading Language, 1st ed., Addison-Wesley, Boston, Massachusetts (2004).
23. T. Akenine-Möller and E. Haines, Real-Time Rendering, 2nd ed., AK Peters, Wellesley, Massachusetts (2002).
24. R. Fernando and M. Kilgard, The CG Tutorial: The Definitive Guide to Programmable Real-Time Graphics, Addison-Wesley, Boston, Massachusetts (2003).