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Design and Implementation of Face Recognition System Based on XilinxZynq-7000

机译:基于XilinxZynq-7000的人脸识别系统的设计与实现

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This paper designs and implements an improved face recognition method based on Zynq-7000 platform. It presents a new platform for face recognition technology, that is, real-time face recognition technology in little car. It brings the possibility of applying face recognition technology in more new fields. This paper first introduces a typical face recognition processing algorithm, especially the PCA algorithm. Then it decomposes the algorithm to software and hardware for the heterogeneous processing features of the Zynq-7000 processing platform, and finally maps the algorithm to the Zynq-7000 processing platform by using the FPGA. The logic function accelerates the algorithm to realize real-time detection of face recognition.
机译:本文设计并实现了一种基于Zynq-7000平台的改进的人脸识别方法。它提供了一种新的面部识别技术平台,即小型汽车中的实时面部识别技术。它带来了将面部识别技术应用于更多新领域的可能性。本文首先介绍一种典型的人脸识别处理算法,尤其是PCA算法。然后针对Zynq-7000处理平台的异构处理功能将算法分解为软件和硬件,最后使用FPGA将算法映射到Zynq-7000处理平台。逻辑功能加速了算法,实现了人脸识别的实时检测。

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