A maximum likelihood stereo algorithm
Computer Vision and Image Understanding
Fast and automatic stereo vision matching algorithm based on dynamic programming method
Pattern Recognition Letters
A dense disparity map of stereo images
Pattern Recognition Letters
A multi-level dynamic programming method for stereo line matching
Pattern Recognition Letters
A Stereo Vision System for Support of Planetary Surface Exploration
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
Binocular Stereo by Maximizing the Likelihood Ratio Relative to a Random Terrain
RobVis '01 Proceedings of the International Workshop on Robot Vision
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Ill-posedness of the binocular stereo problem stems from partial occlusions and homogeneous textures of a 3D surface. We consider the symmetric dynamic programming stereo regularised with respect to partial occlusions. The regularisation is based on Markovian models of epipolar profiles and stereo signals that allow for measuring similarity of stereo images with due account of binocular and monocular visibility of the surface points. Experiments show that the probabilistic regularisation yields mostly accurate elevation maps but fails in excessively occluded or shaded areas.