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- W3115429133 abstract "Human understanding of human movement is one of the most important areas of research activities. In recent years, the use of RGB-D movement recognition data has raised concerns. With artificial intelligence development, the depth of learning technology has made great success in computer vision. A variety of application scenarios and real-time constraints computer vision applications spurred on computer architecture conducted extensive research. These studies take advantage of image processing algorithms and computer vision functions to maximize and improve efficiency through the hardware's scalability. Growth, programmable computing power, and multi-core architecture's potential to accelerate parallel image processing and computer vision algorithms provide a broad prospect. Conduct a new study to discover the unique attributes of three computer vision algorithms that are widely used and determine the optimal computing architecture for each algorithm. Advantages of parallel processing hardware to provide modern programmable graphics data and the thread of instructions, which is significantly faster than the standard CPU implementation." @default.
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- W3115429133 date "2021-03-01" @default.
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- W3115429133 title "RETRACTED: Simulation of swimming sports image recognition based on multi-core processor and dynamic image sampling" @default.
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- W3115429133 doi "https://doi.org/10.1016/j.micpro.2020.103753" @default.
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