Hierarchical stereo and motion correspondence using feature groupings
International Journal of Computer Vision
Ordinal Measures for Image Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Stereo Matching Using Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation
SMBV '01 Proceedings of the IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV'01)
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Near Real-Time Reliable Stereo Matching Using Programmable Graphics Hardware
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Stereo Correspondence by Dynamic Programming on a Tree
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A Dense Stereo Matching Using Two-Pass Dynamic Programming with Generalized Ground Control Points
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
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A stereo matching technique is presented in this paper, which is based on orthogonal dynamic programming (DP) and edge information. First, a global energy function considering the discontinuity of disparity and occlusions is introduced. Then, an orthogonal DP strategy within the scanline optimization (SO) framework is utilized, performing both along horizontal and vertical scanlines to improve inter-scanline consistency. Finally, median filtering is applied to further remove false matches. Compared to existing DP-based approaches, experimental results for the standard datasets demonstrate that the algorithm reduces the typical "streaking" artifacts effectively and preserves disparity discontinuities simultaneously.