Zobrazeno 1 - 9
of 9
pro vyhledávání: '"de Freitas Pereira, Tiago"'
Autor:
de Freitas Pereira, Tiago, Schmidli, Dominic, Linghu, Yu, Zhang, Xinyi, Marcel, Sébastien, Günther, Manuel
Automatic face recognition is a research area with high popularity. Many different face recognition algorithms have been proposed in the last thirty years of intensive research in the field. With the popularity of deep learning and its capability to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::218e8a4d6519adce84506d268021e969
Publikováno v:
IEEE Transactions on Information Forensics & Security; Jul2019, Vol. 14 Issue 7, p1803-1816, 14p
Publikováno v:
2015 IEEE 7th International Conference on Biometrics Theory, Applications & Systems (BTAS); 2015, p1-7, 7p
Autor:
Beveridge, J. Ross, Zhang, Hao, Flynn, Patrick J., Lee, Yooyoung, Liong, Venice Erin, Lu, Jiwen, de Assis Angeloni, Marcus, de Freitas Pereira, Tiago, Li, Haoxiang, Hua, Gang, Struc, Vitomir, Krizaj, Janez, Phillips, P. Jonathon
Publikováno v:
IEEE International Joint Conference on Biometrics; 2014, p1-8, 8p
Publikováno v:
Computer Vision - ACCV 2012 Workshops (9783642374098); 2013, p121-132, 12p
Publikováno v:
2013 International Conference on Biometrics (ICB); 2013, p1-8, 8p
User authentication is an important step to protect information and in this eld face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::5f9a96342ed817b48d658bcbc40f1024
https://infoscience.epfl.ch/record/192381
https://infoscience.epfl.ch/record/192381
Autor:
Günther, Manuel, Costa-Pazo, Artur, Ding, Changxing, Boutellaa, Elhocine, Chiachia, Giovani, Zhang, Honglei, de Assis Angeloni, Marcus, Struc, Vitomir, Khoury, Elie, Vazquez-Fernandez, Esteban, Tao, Dacheng, Bengherabi, Messaoud, Cox, David, Kiranyaz, Serkan, de Freitas Pereira, Tiago, Zganec-Gros, Jerneja, Argones-Rúa, Enrique, Pinto, Nicolas, Gabbouj, Moncef, Simões, Flávio, Dobrisek, Simon, González-Jiménez, Daniel, Rocha, Anderson, Uliani Neto, Mário, Pavesic, Nikola, Falcão, Alexandre, Violato, Ricardo, Marcel, Sébastien
Automatic face recognition in unconstrained environments is a challenging task. To test current trends in face recognition algorithms, we organized an evaluation on face recognition in mobile environment. This paper presents the results of 8 differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee289a41fe80527233cf46587b0ee273
https://infoscience.epfl.ch/record/192439
https://infoscience.epfl.ch/record/192439
Autor:
De Freitas Pereira, Tiago
Face recognition is a mature field in biometrics in which several systems have been proposed over the last three decades. Such systems are extremely reliable under controlled recording conditions and it has been deployed in the field in critical task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5ae86573bbd2af8a9811b71d0cd9014
https://infoscience.epfl.ch/record/265913
https://infoscience.epfl.ch/record/265913