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Performance analysis of correlation filters used for face recognition

机译:用于人脸识别的相关滤波器性能分析

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There are many approaches for designing filters to be used with optical correlation techniques that presents a good method to carry out instantly a decision on the target form. In this paper, we are interested on filters designs since their important role for target tracking and identification. Considering a Vanderlugt correlator (VLC), we discuss the basis of existing filters in the literature, and we carry out a performance analysis of the above filters in terms of Receiver Operating Characteristic (ROC) and peak-to-correlation energy (PCE). Simulation results prove that POF is more appropriate for optical correlator to be used for face recognition.
机译:有许多用于设计滤波器的方法,以便与光学相关技术一起使用,这些技术呈现出良好的方法,即立即对目标形式进行决定。在本文中,我们对滤波器设计感兴趣,因为他们对目标跟踪和识别的重要作用。考虑到vanderLugt相关器(VLC),我们讨论了文献中现有过滤器的基础,我们在接收器操作特征(ROC)和峰值与相关能量(PCE)方面对上述过滤器进行了性能分析。仿真结果证明,POF更适合光学相关器用于人脸识别。

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