| 人脸识别PCA算法的硬件实现 |
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| 引用本文： | 张旭东,徐和根.人脸识别PCA算法的硬件实现[J].中国科技论文在线,2014(4):465-469. |
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| 作者姓名： | 张旭东 徐和根 |
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| 作者单位： | 同济大学电子与信息工程学院,上海201804 |
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| 基金项目： | 国家自然科学基金资助项目（61273284）;高等学校博士学科点专项科研基金资助项目（20100072120015） |
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| 摘 要： | 为满足人脸识别系统的实时性,提出了一种基于FPGA硬件平台的人脸识别系统的实现方法。以传统的主成份分析算法为理论基础,利用Xilinx公司的System Generator开发环境实现算法的硬件逻辑。通过调试和仿真后,分析运算负荷和时序逻辑。结果表明,使用Spartan-3ADSP XC3SD3400AFPGA开发套件,在保证识别率的前提下,硬件实现的算法处理速度要远快于MATLAB中的算法实现。
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| 关 键 词： | 人脸识别 主成份分析 FPGA System Generator |
Hardware realization of face recognition based on PCA |
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| Zhang Xudong,Xu Hegen.Hardware realization of face recognition based on PCA[J].Sciencepaper Online,2014(4):465-469. |
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| Authors: | Zhang Xudong Xu Hegen |
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| Institution: | ( School of Electronics and Information, Tongji University, Shanghai 201804, China) |
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| Abstract: | In order to satisfy the real-time capability of face recognition system,a new method is proposed to realize the face rec-ognition system based on FPGA hardware platform.The principal component analysis （PCA）algorithm is the theoretical basis in this system and Xilinx Company’s System Generator software is the development tool.After debugging,simulating and analyzing the computation load and sequential logic,the result shows that the new method can reduce the calculating time compared with MATLAB simulation. |
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| Keywords: | FPGA System Generator face recognition principal component analysis FPGA System Generator |
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