用于人脸识别应用的光学相关器的实现

F. Bouzidi, Emna Charfi, F. Ghozzi, A. Fakhfakh
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摘要

本工作的主要目的是将vunderlaugh (VLC)光学相关器的优点整合到人脸识别应用中。基于这一目标,我们比较了基于快速傅里叶变换(FFT)和基于夫琅和费衍射的光学傅里叶变换(NO_FT)的VLC相关器的性能。为了实现这一目标,需要对光学傅里叶变换进行数值实现。在本文中,我们提出并验证了一种带有光学傅里叶变换的VLC相关器的全数值实现。使用指向头部姿态图像数据库(PHPID)并考虑具有垂直和水平旋转的面部进行了不同的测试。接收工作特性(ROC)曲线表明,模拟夫琅和费衍射的光学傅里叶变换比FFT具有更好的性能。
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Implementation of optical correlator for face recognition applications
The main purpose of this work is to put together the benefits of the optical correlator which is VunderLaugt (VLC) correlator method for face recognition applications. With this aim in mind, we compare the performances of VLC correlator based on the fast Fourier transform (FFT) with the optical Fourier Transform (NO_FT) based on Fraunhofer diffraction. To achieve this goal, numerical implementation of the optical FT is needed. In this paper, we suggest and validate an all-numerical implementation of a VLC correlator with optical FT. Different tests using the Pointing Head Pose Image Database (PHPID) and considering faces with vertical and horizontal rotations were performed. The receiving operating characteristics (ROC) curves show that the optical FT simulating the Fraunhofer diffraction leads to better performances than the FFT.
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