The theory and practice of Bayesian image labeling
International Journal of Computer Vision
Parallel and Deterministic Algorithms from MRFs: Surface Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Occlusions and binocular stereo
International Journal of Computer Vision
International Journal of Computer Vision
Stereo Matching with Nonlinear Diffusion
International Journal of Computer Vision
International Journal of Computer Vision
Depth Discontinuities by Pixel-to-Pixel Stereo
International Journal of Computer Vision
Markov random field modeling in image analysis
Markov random field modeling in image analysis
Robot Vision
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ordinal Measures for Visual Correspondence
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Stereo Matching Using Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual Integration and Detection of Discontinuities: The Key Role of Intensity Edges
Visual Integration and Detection of Discontinuities: The Key Role of Intensity Edges
Depth Discontinuities by Pixel-to-Pixel Stereo
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Hidden Markov Measure Field Models for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Surfaces with occlusions from layered stereo
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel Markovian formulation of the correspondence problem in stereo vision
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Phase-Correlation Guided Search for Realtime Stereo Vision
IWCIA '09 Proceedings of the 13th International Workshop on Combinatorial Image Analysis
3D dense reconstruction from 2D video sequence via 3D geometric segmentation
Journal of Visual Communication and Image Representation
3D video and free viewpoint video-From capture to display
Pattern Recognition
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In this paper, stereo disparity reconstruction is formulated as a parametric segmentation problem in a Bayesian framework: the goal is to partition the reference image into a set of non-overlapping regions, inside each one of which a specific disparity model (which consists of two coupled membranes) is adjusted. The problem of simultaneously finding the regions and the parameters of the corresponding models is formulated using a novel probabilistic framework which uses a hidden Markov random measure field model, which allows one to efficiently find the optimal estimators by minimization of a differentiable cost function. This framework also allows for the explicit modeling of occlusions, consistency constraints and correspondence of disparity and intensity discontinuities. It is shown experimentally that this method produces competitive results, with respect to state-of-the-art methods, for discretized (integer) disparities and significantly better results for high-precision real-valued disparities.