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Implementing Dense Optical Flow Computation on a Heterogeneous FPGA SoC in C

机译:C语言在异构FPGA SoC上实现密集光流计算

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High-quality optical flow computation algorithms are computationally intensive. The low computational speed of such algorithms causes difficulties for real-world applications. In this article, we propose an optimized implementation of the classical Combine-Brightness-Gradient (CBG) model on the Xilinx ZYNQ FPGA-SoC, by taking advantage of the inherent algorithmic parallelism and ZYNQ architecture. The execution time decreases to 0.82 second with a lower power consumption (1.881W). It is better than software implementation on PC (Intel i7-3520M, 2.9GHz), which costs 2.635 seconds and 35W. We use C rather than HDLs to describe the algorithm for rapid prototyping.
机译:高质量的光流计算算法需要大量的计算。这种算法的低计算速度给实际应用带来了困难。在本文中,我们通过利用固有的算法并行性和ZYNQ架构,在Xilinx ZYNQ FPGA-SoC上提出了经典组合亮度梯度(CBG)模型的优化实现。执行时间减少到0.82秒,功耗更低(1.881W)。它比PC(Intel i7-3520M,2.9GHz)上的软件实现要好,后者成本为2.635秒和35W。我们使用C而不是HDL来描述用于快速原型制作的算法。

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