2021
DOI: 10.17148/ijarcce.2021.104
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Abstract: Visual feature extraction is widely used in many of computer vision algorithms such as object detection, stereo matching, image matching, and Visual SLAM. Real-time implementation of visual feature extraction suffers from long latency, and heavy computation. GPUs are commonly used to accelerate computationally intensive applications, but they are power hungry devices and, they have a fixed level of parallelism. To achieve processing optimization for such computationally intensive applications, FPGA, and ASIC a… Show more

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