ABOUT GPU4Vision is a project founded by the Institute for Computer Graphics and Vision, Graz University of Technology. We'd like to make cutting edge research results in the field of GPU-based vision algorithms publicly available. We use Nvidia consumer graphics cards and their CUDA framework. More... |
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NEWS |
| 2011-07-22 |
New Publication Online: Global Relabeling for Continuous Optimization in Binary Image Segmentation |
| Link | This work will be presented at the 8th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition in Saint Petersburg, Russia. |
| 2011-06-21 |
New Publication Online: Optical Flow Guided TV-L1 Video Interpolation and Restoration |
| Link | This work will be presented at the 8th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition in Saint Petersburg, Russia. |
| 2011-03-22 |
New Publication Online: Efficient Minimization of the Non-Local Potts Model |
| Link | This work will be presented at the 3rd International Conference on Scale Space and Variational Methods in Computer Vision. (Ein-Gedi, Israel) |
| 2011-01-27 |
New Publication Online: TGV-Fusion |
| Link | This work is part of the Maurer Festschrift(LNCS 6570 ) |
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WHY GPUS? Consumer graphics adapters have evolved from petite units with very limited general applicability to high-power computational devices, which are very flexible in terms of their usage. Their computational power and memory bandwith undertook vast increases during the last years. Offering high-level-language support, recent graphics hardware is able to outperform CPU clusters in a wide range of applications.
Modern graphics cards are highly parallel computational devices with fast shared memory. This allows for solving problems with high arithmetic density in realtime, which would take several minutes computed on CPUs. Computer vision problems usually fit perfectly to the architecture of modern graphics hardware, as beeing parallelizable and requiring plenty of operations on each pixel and its surroundings. IMPRINT Institute for Computer Graphics and Vision Google Analytics Disclaimer: This website uses Google Analytics, a web analytics service provided by Google, Inc. ("Google"). Google Analytics uses "cookies", which are text files placed on your computer, to help the website analyze how users use the site. The information generated by the cookie about your use of the website (including your IP address) will be transmitted to and stored by Google on servers in the United States . Google will use this information for the purpose of evaluating your use of the website, compiling reports on website activity for website operators and providing other services relating to website activity and internet usage. Google may also transfer this information to third parties where required to do so by law, or where such third parties process the information on Google's behalf. Google will not associate your IP address with any other data held by Google. You may refuse the use of cookies by selecting the appropriate settings on your browser, however please note that if you do this you may not be able to use the full functionality of this website. By using this website, you consent to the processing of data about you by Google in the manner and for the purposes set out above.
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