A Survey of Face Recognition based on Convolutional Neural Network

R. E. Saragih, Quynh Huong To
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引用次数: 6

Abstract

Face recognition is one of the interesting research topics in the field of computer vision. In recent years, deep learning methods, especially the Convolutional Neural Network, have progressed. One of the successes of CNN is in face recognition. Face recognition by computer is a technique done so that the computer can automatically recognize faces in an image. Various researchers have conducted related research on facial recognition. This survey presents researches related to face recognition based on Convolutional Neural Network that has been conducted. The studies used are studies that have been published in the last five years. It was performed to determine the renewal that emerged in face recognition based on Convolutional Neural Network. The basic theory of the Convolutional Neural Network, face recognition, and description of the database used in various researches are also discussed. Hopefully, this survey can provide additional knowledge regarding face recognition based on the Convolutional Neural Network.
基于卷积神经网络的人脸识别研究进展
人脸识别是计算机视觉领域的研究热点之一。近年来,深度学习方法,特别是卷积神经网络取得了进展。CNN的一个成功之处在于人脸识别。计算机人脸识别是一种使计算机能够自动识别图像中的人脸的技术。很多研究者都对人脸识别进行了相关的研究。本文综述了基于卷积神经网络的人脸识别相关研究。所使用的研究是在过去五年内发表的研究。为了确定基于卷积神经网络的人脸识别中出现的更新。讨论了卷积神经网络的基本理论,人脸识别,以及各种研究中使用的数据库描述。希望这一调查可以为基于卷积神经网络的人脸识别提供更多的知识。
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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12 weeks
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