Face recognition systems based on Neural Compute Stick 2, CPU, GPU comparison

O. Aleksandrova, Y. Bashkov
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引用次数: 6

Abstract

The most common approaches to face recognition are considered, the latest developments in this area are analyzed, an experiment is carried out on a face recognition system on the Neural Compute Stick 2, the conditions for its necessity are substantiated. The system also was tested on CPU and GPU, as well as system models separately to determine the conditions for increasing performance. The main result is the determination of the need for Neural Compute Stick 2 on personal computers, as well as the optimal conditions for the performance of the face recognition system. The need to use the Neural Compute Stick 2 only for low-performance devices is revealed. The tasks of further research are defined.
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基于神经计算棒的人脸识别系统2,CPU, GPU的比较
分析了人脸识别的常用方法,分析了该领域的最新进展,并在神经计算棒2上对人脸识别系统进行了实验,证明了人脸识别系统的必要性。系统还分别在CPU和GPU以及系统模型上进行了测试,以确定提高性能的条件。主要结果是确定个人计算机对神经计算棒2的需求,以及人脸识别系统性能的最佳条件。需要使用神经计算棒2仅为低性能的设备显示。明确了进一步研究的任务。
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