Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kevin Hernandez-Diaz"'
Publikováno v:
IEEE Access, Vol 11, Pp 100396-100413 (2023)
One weakness of machine-learning algorithms is the need to train the models for a new task. This presents a specific challenge for biometric recognition due to the dynamic nature of databases and, in some instances, the reliance on subject collaborat
Externí odkaz:
https://doaj.org/article/0e6fee7d6b564f95bfd6842088268a9d
Autor:
Fernando Alonso‐Fernandez, Kevin Hernandez‐Diaz, Silvia Ramis, Francisco J. Perales, Josef Bigun
Publikováno v:
IET Biometrics, Vol 10, Iss 5, Pp 562-580 (2021)
Abstract We address the use of selfie ocular images captured with smartphones to estimate age and gender. Partial face occlusion has become an issue due to the mandatory use of face masks. Also, the use of mobile devices has exploded, with the pandem
Externí odkaz:
https://doaj.org/article/5a67f406c63548fcb76c49a9ced900d6
Autor:
Pontus Hedman, Vasilios Skepetzis, Kevin Hernandez-Diaz, Josef Bigun, Fernando Alonso-Fernandez
Publikováno v:
Pattern Recognition Letters. 163:104-111
Beautification and augmented reality filters are very popular in applications that use selfie images captured with smartphones or personal devices. However, they can distort or modify biometric features, severely affecting the capability of recognizi
Publikováno v:
FedCSIS
The world is expecting an aging population and shortage of healthcare professionals. This poses the problem of providing a safe and dignified life for the elderly. Technological solutions involving cameras can contribute to safety, comfort and effici
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687922
ICPR Workshops (8)
ICPR Workshops (8)
Ubiquitous and real-time person authentication has become critical after the breakthrough of all kind of services provided via mobile devices. In this context, face technologies can provide reliable and robust user authentication, given the availabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29320a3e029e9247ef43ed6766bdbd53
https://doi.org/10.1007/978-3-030-68793-9_10
https://doi.org/10.1007/978-3-030-68793-9_10
Publikováno v:
CNS
This paper describes the implementation of a system to recognize employees and visitors wanting to gain access to a physical office through face images and speech-to-text recognition. The system helps employees to unlock the entrance door via face re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9226456a52f2b72289153ab353d07dc4
http://arxiv.org/abs/2004.11168
http://arxiv.org/abs/2004.11168
Publikováno v:
IJCB
This work addresses the challenge of comparing periocular images captured in different spectra, which is known to produce significant drops in performance in comparison to operating in the same spectrum. We propose the use of Conditional Generative A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cabab547cc556e8b6967586a5ba625f
Publikováno v:
ICB
Periocular recognition has gained attention in the last years thanks to its high discrimination capabilities in less constraint scenarios than other ocular modalities. In this paper we propose a method for periocular verification under different ligh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77ac60ad6750ca98be60ea0d57cc7ba1
http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-40499
http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-40499
Publikováno v:
BIOSIG
Periocular refers to the region around the eye, including sclera, eyelids, lashes, brows and skin. With a surprisingly high discrimination ability, it is the ocular modality requiring the least constrained acquisition. Here, we apply existing pre-tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f069556fddd8364acc383d637ee49c3
http://arxiv.org/abs/1809.06157
http://arxiv.org/abs/1809.06157