Global priors for binocular stereopsis
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[1] Anil K. Jain,et al. Markov Random Field Texture Models , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] J P Frisby,et al. PMF: A Stereo Correspondence Algorithm Using a Disparity Gradient Limit , 1985, Perception.
[4] Tomaso Poggio,et al. Probabilistic Solution of Ill-Posed Problems in Computational Vision , 1987 .
[5] David B. Cooper,et al. Toward a Model-Based Bayesian Theory for Estimating and Recognizing Parameterized 3-D Objects Using Two or More Images Taken from Different Positions , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[6] James J. Clark,et al. Data Fusion for Sensory Information Processing Systems , 1990 .
[7] Federico Girosi,et al. Parallel and Deterministic Algorithms from MRFs: Surface Reconstruction , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[8] Daniel J. Kersten,et al. The Computation of Stereo Disparity for Transparent and for Opaque Surfaces , 1992, NIPS.
[9] I. G. MacKenzie,et al. Stochastic Processes with Applications , 1992 .
[10] Josiane Zerubia,et al. Multiscale Markov random field models for parallel image classification , 1993, 1993 (4th) International Conference on Computer Vision.
[11] Peter N. Belhumeur,et al. A binocular stereo algorithm for reconstructing sloping, creased, and broken surfaces in the presence of half-occlusion , 1993, 1993 (4th) International Conference on Computer Vision.