A Variable Window Approach to Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo Matching Using Belief Propagation
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
Adaptive Support-Weight Approach for Correspondence Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
High-Quality Real-Time Stereo Using Adaptive Cost Aggregation and Dynamic Programming
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
A Performance Study on Different Cost Aggregation Approaches Used in Real-Time Stereo Matching
International Journal of Computer Vision
Real-Time Stereo Vision: Making More Out of Dynamic Programming
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Accurate Real-Time Disparity Estimation with Variational Methods
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Segmentation-based adaptive support for accurate stereo correspondence
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Local stereo matching using geodesic support weights
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A fast stereo matching algorithm suitable for embedded real-time systems
Computer Vision and Image Understanding
Real-time spatiotemporal stereo matching using the dual-cross-bilateral grid
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Real-Time Stereo Matching Using Orthogonal Reliability-Based Dynamic Programming
IEEE Transactions on Image Processing
Cost Aggregation and Occlusion Handling With WLS in Stereo Matching
IEEE Transactions on Image Processing
High Performance Stereo Vision Designed for Massively Data Parallel Platforms
IEEE Transactions on Circuits and Systems for Video Technology
Fast fingerprint identification for large databases
Pattern Recognition
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This paper presents a new stereo matching algorithm which takes into consideration surface orientation at the per-pixel level. Two disparity calculation passes are used. The first pass assumes that surfaces in the scene are fronto-parallel and generates an initial disparity map, from which the disparity plane orientations of all pixels are estimated and refined. In the second pass, the matching costs for different pixels are aggregated along the estimated disparity plane orientations using adaptive support weights, where the support weights of neighboring pixels are calculated using a combination of four terms: a spatial proximity term, a color similarity term, a disparity similarity term, and an occlusion handling term. The disparity search space is quantized at sub-pixel level to improve the accuracy of the disparity results. The algorithm is designed for parallel execution on Graphics Processing Units (GPUs) for near-real-time processing speed. The evaluation using Middlebury benchmark shows that the presented approach outperforms existing real-time and near-real-time algorithms in terms of subpixel level accuracy.