Algorithms for subpixel registration
Computer Vision, Graphics, and Image Processing
A Bayesian approach to binocular stereopsis
International Journal of Computer Vision
A Pixel Dissimilarity Measure That Is Insensitive to Image Sampling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo Matching with Nonlinear Diffusion
International Journal of Computer Vision
International Journal of Computer Vision
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Progressive Scheme for Stereo Matching
SMILE '00 Revised Papers from Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
International Journal of Computer Vision
Stereo Reconstruction from Multiperspective Panoramas
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sampling the Disparity Space Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2004 Papers
Neural adaptive stereo matching
Pattern Recognition Letters
Sub-Pixel Estimation Error Cancellation on Area-Based Matching
International Journal of Computer Vision
Stereo Using Monocular Cues within the Tensor Voting Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Parameter Simultaneous Estimation on Area-Based Matching
International Journal of Computer Vision
International Journal of Computer Vision
Symmetrical Dense Optical Flow Estimation with Occlusions Detection
International Journal of Computer Vision
Neural disparity computation for dense two-frame stereo correspondence
Pattern Recognition Letters
Fast variable window for stereo correspondence using integral images
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Extracting dense features for visual correspondence with graph cuts
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Scene reconstruction from high spatio-angular resolution light fields
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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Two central issues in stereo algorithm design are the matching criterion and the underlying smoothness assumptions. In this paper we propose a new stereo algorithm with novel approaches to both issues. We start with a careful analysis of the properties of the continuous disparity space image (DSI), and derive a new matching cost based on the reconstructed image signals. We then use a symmetric matching process that employs visibility constraints to assign disparities to a large fraction of pixels with minimal smoothness assumptions. While the matching operates on integer disparities, sub-pixel information is maintained throughout the process. Global smoothness assumptions are delayed until a later stage in which disparities are assigned in textureless and occluded areas. We validate our approach with experimental results on stereo images with ground truth.