Bayesian stereo matching

Computer Vision and Image Understanding

Volumn 106, Issue 1, 2007, Pages 85-96

  Cheng, Li ^a,b   Caelli, Terry ^b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Bayesian analysis; Generative model; Markov random field; Monte Carlo sampling; Stereo vision

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS; MARKOV PROCESSES; MONTE CARLO METHODS;

GENERATIVE MODEL; MAXIMUM A POSTERIORI (MAP) DISPARITY MAP; STEREO IMAGES;

STEREO VISION;

EID: 34047146525     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2005.09.009     Document Type: Article

References (15)

1. Scharstein D., and Szeliski R. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision 47 (2002) 7-42
2. Higdon D., Bowsher J., Johnson V., Turkington T., Gilland D., and Jaszczak R. Fully Bayesian estimation of Gibbs hyperparameters for emission computed tomography data. IEEE Transactions on Medical Imaging 16 (1997) 516-526
3. Gilks W.R., Richardson S., and Spiegelhalter D.J. Markov Chain Monte Carlo in Practice (1996), Chapman and Hall, London
4. J. Coughlan, H. Shen, Dynamic quantization for belief propagation in sparse spaces, Computer Vision and Image Understanding (2006) Special issue, doi:10.1016/j.cviu.2005.09.008.
5. J. Yedidia, W.T. Freeman, Y. Weiss, Understanding belief propagation and its generalizations, in: Gerhard Lakemeyer (ed.), Exploring Artificial Intelligence in the New Millennium, 2003, pp. 239-236.
6. Barnard S.T. Stochastic stereo matching over scale. International Journal of Computer Vision 3 (1989) 17-32
7. Belhumeur P.N. A Bayesian approach to binocular stereopsis. International Journal of Computer Vision 19 3 (1996) 237-262
8. Sun J., Zheng N., and Shum H. Stereo matching using belief propagation. IEEE Transactions on Pattern Recognition and Machine Intelligence 25 7 (2003) 787-800
9. Gelman A., and Meng X. Simulating normalizing constants: From importance sampling to bridge sampling to path sampling. Statistical Science 13 (1998) 163-185
10. Besag J. Statistical analysis of non-lattice data. Statistician 24 (1975) 179-195
11. Besag J. Spatial interaction and the statistical analysis of lattice systems. Journal of the Royal Statistical Society B 36 2 (1974) 192-225
12. Gelman A., Carlin J., Stern H., and Rubin D. Bayesian Data Analysis (1997), Chapman and Hall, London
13. Michael Jordan, Chris Bishop, An Introduction to Graphical Models, in preparation.
14. Swendsen R.H., and Wang J.S. Nonuniversal critical dynamics in Monte Carlo simulations. Physical Review Letters 58 (1987) 86-88
15. Lauritzen S.L. Graphical Models (1996), Clarendon Press, Oxford