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
Adaptive Support-Weight Approach for Correspondence Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Accurate Real-Time Disparity Estimation with Variational Methods
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Accurate hardware-based stereo vision
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
3DIMPVT '11 Proceedings of the 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission
Journal of Mathematical Imaging and Vision
How Accurate Can Block Matches Be in Stereo Vision?
SIAM Journal on Imaging Sciences
REal-time local stereo matching using guided image filtering
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
FPGA Design and Implementation of a Real-Time Stereo Vision System
IEEE Transactions on Circuits and Systems for Video Technology
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Speed and accuracy in stereo vision are of foremost importance in many applications. Very few authors focus on both aspects and in this paper we propose a new local algorithm that achieves high-accuracy in real-time. Our GPU implementation of a disparity estimator levels with the fastest published so far with 4839 MDE/s (Millions of Disparity Estimation per Second) but is the most precise at that speed. Moreover, our algorithm achieves high-accuracy thanks to a reliability criterion in the matching decision rule. A quantitative and qualitative evaluation has been done on the Middlebury benchmark and on real data showing the superiority of our algorithm in terms of execution speed and matching accuracy. Accomplishing such performances in terms of speed and quality opens the way for new applications in 3D media and entertainment services.