Layered probability maps: basic framework and prototype system
Proceedings of the ACM symposium on Virtual reality software and technology
Graphical Models - Special issue on the vision, video and graphics conference 2005
Immersive Video Teleconferencing with User-Steerable Views
Presence: Teleoperators and Virtual Environments
A Performance Study on Different Cost Aggregation Approaches Used in Real-Time Stereo Matching
International Journal of Computer Vision
Detailed Real-Time Urban 3D Reconstruction from Video
International Journal of Computer Vision
Real-Time Neighborhood Based Disparity Estimation Incorporating Temporal Evidence
Proceedings of the 30th DAGM symposium on Pattern Recognition
Real-time joint disparity and disparity flow estimation on programmable graphics hardware
Computer Vision and Image Understanding
Mutual Information Based Semi-Global Stereo Matching on the GPU
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Stream-centric stereo matching and view synthesis: a high-speed approach on GPUs
IEEE Transactions on Circuits and Systems for Video Technology
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 on GPGPU using progressive multi-resolution adaptive windows
Image and Vision Computing
SUSAN window based cost calculation for fast stereo matching
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Enforcing temporal consistency in real-time stereo estimation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Information permeability for stereo matching
Image Communication
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This paper presents a detailed description of an advanced real-time correlation-based stereo algorithm running completely on the graphics processing unit (GPU). This is important since it allows to free up the main processor for other tasks including high-level interpretation of the stereo results. Compared to previous GPU-based stereo implementations our implementation includes some advanced features such as adaptive windows and cross-checking. By taking advantage of advanced features of recent GPUs the proposed algorithm is also a lot faster than previous implementations. Our implementation running on an ATI Radeon 9800 graphics card achieves over 289 million disparity evaluations per second including all the overhead to download images and read-back the disparity map, which is several times faster than commercially available CPU-based implementations.