Visual reconstruction
Occlusions and binocular stereo
International Journal of Computer Vision
A maximum likelihood stereo algorithm
Computer Vision and Image Understanding
A Bayesian approach to binocular stereopsis
International Journal of Computer Vision
Spline-Based Image Registration
International Journal of Computer Vision
International Journal of Computer Vision
ACM Computing Surveys (CSUR)
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Real-Time Correlation-Based Stereo Vision with Reduced Border Errors
International Journal of Computer Vision
A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cooperative Robust Estimation Using Layers of Support
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Cooperative Algorithm for Stereo Matching and Occlusion Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Occlusions, Discontinuities, and Epipolar Lines in Stereo
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Stereo Matching Using Belief Propagation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
What Energy Functions Can Be Minimized via Graph Cuts?
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
A New Algorithm for Energy Minimization with Discontinuities
EMMCVPR '99 Proceedings of the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Markov Random Fields with Efficient Approximations
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Layered Approach to Stereo Reconstruction
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Recovery and Tracking of Continuous 3D Surfaces from Stereo Data Using a Deformable Dual-Mesh
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A Maximum-Flow Formulation of the N-Camera Stereo Correspondence Problem
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Shape and the Stereo Correspondence Problem
International Journal of Computer Vision
Stereo Using Monocular Cues within the Tensor Voting Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
High-precision stereo disparity estimation using HMMF models
Image and Vision Computing
Correspondence as energy-based segmentation
Image and Vision Computing
Programming and Computing Software
A portable stereo vision system for whole body surface imaging
Image and Vision Computing
Spatially coherent clustering using graph cuts
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
An optimal time---space algorithm for dense stereo matching
Journal of Real-Time Image Processing
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Although steady progress has been made in recent stereo algorithms, producing accurate results in the neighborhood of depth discontinuities remains a challenge. Moreover, among the techniques that best localize depth discontinuities, it is common to work only with a discrete set of disparity values, hindering the modeling of smooth, nonfronto-parallel surfaces. We propose to estimate scene structure as a set of smooth surface patches. The disparities within each patch are modeled by a spline, while the extent of each patch is represented by a pixelwise labeling of the source images. Disparities and extents are alternately estimated in an iterative, energy minimization framework. Segmentation is via graph cuts, aided by image gradients. Input images are treated symmetrically, and occlusions are addressed explicitly. Promising experimental results are presented.