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
Detecting Binocular Half-Occlusions: Empirical Comparisons of Five Approaches
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Spacetime faces: high resolution capture for modeling and animation
ACM SIGGRAPH 2004 Papers
Improved Real-Time Stereo on Commodity Graphics Hardware
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 3 - Volume 03
Spacetime Stereo: A Unifying Framework for Depth from Triangulation
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
Efficient Belief Propagation for Early Vision
International Journal of Computer Vision
Fast median and bilateral filtering
ACM SIGGRAPH 2006 Papers
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)
Real-time edge-aware image processing with the bilateral grid
ACM SIGGRAPH 2007 papers
A Performance Study on Different Cost Aggregation Approaches Used in Real-Time Stereo Matching
International Journal of Computer Vision
A gentle introduction to bilateral filtering and its applications
ACM SIGGRAPH 2008 classes
Edge-Preserving Smoothing and Mean-Shift Segmentation of Video Streams
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
International Journal of Computer Vision
A correlation-based approach for real-time stereo matching
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Stereo matching using gradient similarity and locally adaptive support-weight
Pattern Recognition Letters
Temporally consistent disparity and optical flow via efficient spatio-temporal filtering
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
Adaptive manifolds for real-time high-dimensional filtering
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
On the evaluation of scene flow estimation
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
A precise real-time stereo algorithm
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Consistent Binocular Depth and Scene Flow with Chained Temporal Profiles
International Journal of Computer Vision
Secrets of adaptive support weight techniques for local stereo matching
Computer Vision and Image Understanding
Cross image inference scheme for stereo matching
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Information permeability for stereo matching
Image Communication
Stereo matching by using the global edge constraint
Neurocomputing
Fast stereo matching using adaptive guided filtering
Image and Vision Computing
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We introduce a real-time stereo matching technique based on a reformulation of Yoon and Kweon's adaptive support weights algorithm [1]. Our implementation uses the bilateral grid to achieve a speedup of 200× compared to a straightforward full-kernel GPU implementation, making it the fastest technique on the Middlebury website. We introduce a colour component into our greyscale approach to recover precision and increase discriminability. Using our implementation, we speed up spatialdepth superresolution 100×. We further present a spatiotemporal stereo matching approach based on our technique that incorporates temporal evidence in real time (14 fps). Our technique visibly reduces flickering and outperforms per-frame approaches in the presence of image noise. We have created five synthetic stereo videos, with ground truth disparity maps, to quantitatively evaluate depth estimation from stereo video. Source code and datasets are available on our project website.