GPU-Accelerated Vision for Robots: Improving System Throughput Using OpenCV and CUDA
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Title
GPU-Accelerated Vision for Robots: Improving System Throughput Using OpenCV and CUDAAuthor (s)
Date
2020-06Publisher
IEEEBibliographic citation
E. Cervera, "GPU-Accelerated Vision for Robots: Improving System Throughput Using OpenCV and CUDA," in IEEE Robotics & Automation Magazine, vol. 27, no. 2, pp. 151-158, June 2020, doi: 10.1109/MRA.2020.2977601.Type
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https://ieeexplore.ieee.org/abstract/document/9047171Version
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Abstract
OpenCV is an open source computer vision and machine learning library for C/C++/Python available for Windows, Linux, macOS, and Android platforms. It contains low-level image processing functions as well as high-level ... [+]
OpenCV is an open source computer vision and machine learning library for C/C++/Python available for Windows, Linux, macOS, and Android platforms. It contains low-level image processing functions as well as high-level algorithms such as object identification, face recognition, and action classification in videos. OpenCV has become very popular, with more than 47,000 people in its user community and 18 million downloads (see https://opencv.org/about/). Under a Berkeley Software Distribution (BSD) license, it can be used for both academic and commercial applications. [-]
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