人脸识别在准确性和速度方面的发展综述

Weijie Wang
{"title":"人脸识别在准确性和速度方面的发展综述","authors":"Weijie Wang","doi":"10.1109/CDS52072.2021.00020","DOIUrl":null,"url":null,"abstract":"This paper reviews the latest state of face recognition technology and applications. Provides a brief background of face recognition and specific algorithms, including Region-CNN (R-CNN), Spatial Pyramid Pooling Network (SPP-Net), Fast Region-CNN (Fast R-CNN), Faster Region-CNN (Faster R-CNN), Multi-task convolutional neural network (MTCNN), FaceBoxes, HAMBox. We have compared in detail the technological breakthroughs made by the algorithms, especially in terms of computing speed and accuracy. At the same time, we further introduced the opportunities and challenges faced by face recognition under the impact of the new crown epidemic. We foresee that in the near future, when we face a severe situation here, face recognition will adapt to changes well and solve the pain points in our lives.","PeriodicalId":380426,"journal":{"name":"2021 2nd International Conference on Computing and Data Science (CDS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The development of face recognition in accuracy and speed: A Review\",\"authors\":\"Weijie Wang\",\"doi\":\"10.1109/CDS52072.2021.00020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reviews the latest state of face recognition technology and applications. Provides a brief background of face recognition and specific algorithms, including Region-CNN (R-CNN), Spatial Pyramid Pooling Network (SPP-Net), Fast Region-CNN (Fast R-CNN), Faster Region-CNN (Faster R-CNN), Multi-task convolutional neural network (MTCNN), FaceBoxes, HAMBox. We have compared in detail the technological breakthroughs made by the algorithms, especially in terms of computing speed and accuracy. At the same time, we further introduced the opportunities and challenges faced by face recognition under the impact of the new crown epidemic. We foresee that in the near future, when we face a severe situation here, face recognition will adapt to changes well and solve the pain points in our lives.\",\"PeriodicalId\":380426,\"journal\":{\"name\":\"2021 2nd International Conference on Computing and Data Science (CDS)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 2nd International Conference on Computing and Data Science (CDS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDS52072.2021.00020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Computing and Data Science (CDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDS52072.2021.00020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文综述了人脸识别技术及其应用的最新进展。简要介绍了人脸识别的背景和具体算法,包括区域cnn (R-CNN)、空间金字塔池网络(SPP-Net)、快速区域cnn (Fast R-CNN)、更快区域cnn (Faster R-CNN)、多任务卷积神经网络(MTCNN)、FaceBoxes、HAMBox。我们详细比较了算法所取得的技术突破,特别是在计算速度和精度方面。同时,我们进一步介绍了新冠疫情影响下人脸识别面临的机遇和挑战。我们可以预见,在不久的将来,当我们在这里面临严峻的形势时,人脸识别将很好地适应变化,解决我们生活中的痛点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The development of face recognition in accuracy and speed: A Review
This paper reviews the latest state of face recognition technology and applications. Provides a brief background of face recognition and specific algorithms, including Region-CNN (R-CNN), Spatial Pyramid Pooling Network (SPP-Net), Fast Region-CNN (Fast R-CNN), Faster Region-CNN (Faster R-CNN), Multi-task convolutional neural network (MTCNN), FaceBoxes, HAMBox. We have compared in detail the technological breakthroughs made by the algorithms, especially in terms of computing speed and accuracy. At the same time, we further introduced the opportunities and challenges faced by face recognition under the impact of the new crown epidemic. We foresee that in the near future, when we face a severe situation here, face recognition will adapt to changes well and solve the pain points in our lives.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信