Improving accuracy of facial recognition systems for distant targets

Jun-Horng Chen, Chin-Lun Lai, Chih-Hong Chu, Jing-Ying Hsu
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Abstract

This work is aimed at improving the accuracy of the PCA-based facial recognition system for distant targets. Since the faces captured from distant targets are inevitably with lower resolution in contrast to the enrolled faces in the database, enhancing the effective resolution will be accordingly adopted to improve the accuracy. This work will category the approaches and experimentally compare the performance of them, which provides a valuable recommendation for the design of a practical facial recognition system.
提高面部识别系统对远距离目标的准确性
这项工作旨在提高基于pca的面部识别系统对远距离目标的准确性。由于从远处目标捕获的人脸与数据库中登记的人脸相比,不可避免地存在分辨率较低的问题,因此将采取相应的提高有效分辨率的方法来提高精度。本文将对这些方法进行分类,并对它们的性能进行实验比较,为实际面部识别系统的设计提供有价值的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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