A survey of deep face recognition in the wild

Bima Prihasto, Shabrina Choirunnisa, Muhammad Ishak Nurdiansyah, Seksan Mathulaprangsan, Vivian Ching Mei Chu, Shi Huang Chen, Jia Ching Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

6 引文 斯高帕斯(Scopus)

摘要

Face recognition is one of the significant topics in the biometric security system. This topic has been progressively developed by deep learning approaches, one of the most favorite techniques in recent years. In this paper, we propose a survey of existing works on face recognition using deep learning algorithms. All of the surveyed methods were compared on the labeled face in the wild (LFW) database.

原文???core.languages.en_GB???
主出版物標題2016 International Conference on Orange Technologies, ICOT 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面76-79
頁數4
ISBN(電子)9781538648315
DOIs
出版狀態已出版 - 1 2月 2018
事件2016 International Conference on Orange Technologies, ICOT 2016 - Melbourne, Australia
持續時間: 18 12月 201620 12月 2016

出版系列

名字2016 International Conference on Orange Technologies, ICOT 2016
2018-January

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???2016 International Conference on Orange Technologies, ICOT 2016
國家/地區Australia
城市Melbourne
期間18/12/1620/12/16

指紋

深入研究「A survey of deep face recognition in the wild」主題。共同形成了獨特的指紋。

引用此