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Fast graph-cuts for grids. Min-cut solver for grids. GridCut is fast multi-core max-flow/min-cut solver optimized for grid-like graphs. It brings superior performance to applications ranging from image and video processing to computer vision and medical imaging. It is lightweight, easy to integrate, comes with full source code in C , and compiles on all major platforms. GridCut takes advantage of multi-core CPUs by splitting the work between multiple threads and performing the computation in parallel.

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GridCut : Home | gridcut.com Reviews

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Fast graph-cuts for grids. Min-cut solver for grids. GridCut is fast multi-core max-flow/min-cut solver optimized for grid-like graphs. It brings superior performance to applications ranging from image and video processing to computer vision and medical imaging. It is lightweight, easy to integrate, comes with full source code in C , and compiles on all major platforms. GridCut takes advantage of multi-core CPUs by splitting the work between multiple threads and performing the computation in parallel.

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3 licensing

4 downloads

5 purchase

6 high performance

7 download now

8 purchase license

9 get in touch

10 speed

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GridCut : Home | gridcut.com Reviews

https://gridcut.com

Fast graph-cuts for grids. Min-cut solver for grids. GridCut is fast multi-core max-flow/min-cut solver optimized for grid-like graphs. It brings superior performance to applications ranging from image and video processing to computer vision and medical imaging. It is lightweight, easy to integrate, comes with full source code in C , and compiles on all major platforms. GridCut takes advantage of multi-core CPUs by splitting the work between multiple threads and performing the computation in parallel.

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gridcut.com

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GridCut : Benchmark

http://www.gridcut.com/benchmark.php

Fast graph-cuts for grids. GridCut is developed in partnership with. Department of Computer Graphics and Interaction. The Faculty of Electrical Engineering. Czech Technical University in Prague.

2

GridCut : Licensing

http://www.gridcut.com/licensing.php

Fast graph-cuts for grids. Use GridCut for research, education, or other non-profit purposes. Do evaluation before purchasing commercial license. Adapt, arrange, or otherwise alter the source code. Redistribute GridCut with your free or commercial software. Incorporate GridCut into your commercial software. Grant sublicenses to unlimited number of customers. All updates/upgrades for free. GridCut is developed in partnership with. Department of Computer Graphics and Interaction.

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GridCut : Home

http://www.gridcut.com/index.php

Fast graph-cuts for grids. Min-cut solver for grids. GridCut is fast multi-core max-flow/min-cut solver optimized for grid-like graphs. It brings superior performance to applications ranging from image and video processing to computer vision and medical imaging. It is lightweight, easy to integrate, comes with full source code in C , and compiles on all major platforms. GridCut takes advantage of multi-core CPUs by splitting the work between multiple threads and performing the computation in parallel.

4

GridCut : Purchase

http://www.gridcut.com/purchase.php

Fast graph-cuts for grids. Thank you for your interest in GridCut! Please read the License Agreement. Provide us with your contact details, and press "Submit" button:. Our sales representative will contact you with further instructions as soon as possible. You can also mail us directly at sales(at)gridcut.com. GridCut is developed in partnership with. Department of Computer Graphics and Interaction. The Faculty of Electrical Engineering. Czech Technical University in Prague.

5

GridCut : Features

http://www.gridcut.com/features.php

Fast graph-cuts for grids. GridCut is high performance max-flow/min-cut solver. For graphs with grid-like topologies. It is free. For non-profit use and evaluation purposes. License permitting commercial use is available for purchase. It is written in portable C. And thus can be easily integrated into existing systems on various platforms. Fast, Compact and Parallel. BK) algorithm [ 1. Which allows parallel processing and thus additional speed-up on multi-core CPUs. With cache-efficient memory layout.

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dcgi.felk.cvut.cz

DCGI Publication :: Cache-efficient Graph Cuts on Structured Grids

http://dcgi.felk.cvut.cz/publications/2012/jamriska-cvpr-gridcut

Cache-efficient Graph Cuts on Structured Grids. Czech Technical University in Prague. Czech Technical University in Prague. Alexander Hornung Disney Research Zurich. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 3673-3680, 2012. Department of Computer Graphics and Interaction. Faculty of Electrical Engineering. Czech Technical University in Prague.

usabilitylab.cz

DCGI Publication :: Cache-efficient Graph Cuts on Structured Grids

http://www.usabilitylab.cz/publications/2012/jamriska-cvpr-gridcut

Cache-efficient Graph Cuts on Structured Grids. Czech Technical University in Prague. Czech Technical University in Prague. Alexander Hornung Disney Research Zurich. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 3673-3680, 2012. Department of Computer Graphics and Interaction. Faculty of Electrical Engineering. Czech Technical University in Prague.

dcgi.fel.cvut.cz

DCGI Publication :: Cache-efficient Graph Cuts on Structured Grids

http://www.dcgi.fel.cvut.cz/publications/2012/jamriska-cvpr-gridcut

Cache-efficient Graph Cuts on Structured Grids. Czech Technical University in Prague. Czech Technical University in Prague. Alexander Hornung Disney Research Zurich. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 3673-3680, 2012. Department of Computer Graphics and Interaction. Faculty of Electrical Engineering. Czech Technical University in Prague.

strandmark.wordpress.com

GridCut | Petter Strandmark

https://strandmark.wordpress.com/2012/06/15/gridcut

Computer vison, image processing and optimization. I have briefly tried the GridCut code ( http:/ gridcut.com. And performed the same experiments as in the previous post. Below are the updated graphs. The GridCut code performs very well for graphs with a reasonable amount of regularization, but becomes very slow for a high amount of regularization, just as BK. Feed You can leave a response. From your own site. Laquo; Previous Post. Next Post ». Leave a Reply Cancel reply. Enter your comment here.

strandmark.wordpress.com

Petter Strandmark | Computer vison, image processing and optimization | Page 2

https://strandmark.wordpress.com/page/2

Computer vison, image processing and optimization. Graph cuts in nVidia’s NPP toolbox (imageSegmentationNPP). February 18, 2013. Note: This post has been updated after I received some help from nVidia’s Timo Stich. It turned out that some weights have to be set to zero; otherwise, CUDA gives an incorrect answer. Today, I downloaded the latest version of nVidia’s CUDA to try out the graph cut segmentation present in NPP. Read the rest of this entry ». June 15, 2012. Below are the updated graphs. For visio...

strandmark.wordpress.com

Graph cuts in nVidia’s NPP toolbox (imageSegmentationNPP) | Petter Strandmark

https://strandmark.wordpress.com/2013/02/18/graph-cuts-in-nvidias-npp-toolbox-imagesegmentationnpp-do-not-work

Computer vison, image processing and optimization. Graph cuts in nVidia’s NPP toolbox (imageSegmentationNPP). Note: This post has been updated after I received some help from nVidia’s Timo Stich. It turned out that some weights have to be set to zero; otherwise, CUDA gives an incorrect answer. Today, I downloaded the latest version of nVidia’s CUDA to try out the graph cut segmentation present in NPP. Low amount of regularization, so I increased the regularization:. Feed You can leave a response. Good to...

strandmark.wordpress.com

Maximum flow for vision | Petter Strandmark

https://strandmark.wordpress.com/2012/01/30/maximum-flow-for-vision

Computer vison, image processing and optimization. Maximum flow for vision. Last week, I decided to try out the IBFS maximum flow algorithm. For vision applications for the first time. The algorithm is due to A.V. Goldberg, S.Hed, H. Kaplan, R.E. Tarjan, and R.F. Werneck, who have released an implementation. Which uses the same interface as the commonly used algorithm by Boykov and Kolmogorov. Feed You can leave a response. From your own site. Laquo; Previous Post. Next Post ». Maximum flow for vision.

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GridCut : Home

Fast graph-cuts for grids. Min-cut solver for grids. GridCut is fast multi-core max-flow/min-cut solver optimized for grid-like graphs. It brings superior performance to applications ranging from image and video processing to computer vision and medical imaging. It is lightweight, easy to integrate, comes with full source code in C , and compiles on all major platforms. GridCut takes advantage of multi-core CPUs by splitting the work between multiple threads and performing the computation in parallel.

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