Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Fernando Alonso-Fernandez"'
Autor:
Christoph Busch, Farzin Deravi, Dinusha Frings, Els Kindt, Ralph Lessmann, Alexander Nouak, Jean Salomon, Mateus Achcar, Fernando Alonso‐Fernandez, Daniel Bachenheimer, David Bethell, Josef Bigun, Matthew Brawley, Guido Brockmann, Enrique Cabello, Patrizio Campisi, Aleksandrs Cepilovs, Miles Clee, Mickey Cohen, Christian Croll, Andrzej Czyżewski, Bernadette Dorizzi, Martin Drahansky, Pawel Drozdowski, Catherine Fankhauser, Julian Fierrez, Marta Gomez‐Barrero, Georg Hasse, Richard Guest, Ekaterina Komleva, Sebastien Marcel, Gian Luca Marcialis, Laurent Mercier, Emilio Mordini, Stefance Mouille, Pavlina Navratilova, Javier Ortega‐Garcia, Dijana Petrovska, Norman Poh, Istvan Racz, Ramachandra Raghavendra, Christian Rathgeb, Christophe Remillet, Uwe Seidel, Luuk Spreeuwers, Brage Strand, Sirra Toivonen, Andreas Uhl
Publikováno v:
IET Biometrics, Vol 12, Iss 2, Pp 112-128 (2023)
Abstract Due to migration, terror‐threats and the viral pandemic, various EU member states have re‐established internal border control or even closed their borders. European Association for Biometrics (EAB), a non‐profit organisation, solicited
Externí odkaz:
https://doaj.org/article/2fa10a9261374d5583d65f3d8f88a47d
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:
Cristofer Englund, Eren Erdal Aksoy, Fernando Alonso-Fernandez, Martin Daniel Cooney, Sepideh Pashami, Björn Åstrand
Publikováno v:
Smart Cities, Vol 4, Iss 2, Pp 783-802 (2021)
Smart cities and communities (SCC) constitute a new paradigm in urban development. SCC ideate a data-centered society aimed at improving efficiency by automating and optimizing activities and utilities. Information and communication technology along
Externí odkaz:
https://doaj.org/article/adeaa964196d4906882134c47cad9210
Publikováno v:
Data in Brief, Vol 39, Iss , Pp 107521- (2021)
The use of small and remotely controlled unmanned aerial vehicles (UAVs), referred to as drones, has increased dramatically in recent years, both for professional and recreative purposes. This goes in parallel with (intentional or unintentional) misu
Externí odkaz:
https://doaj.org/article/3a14dcf959694712b42cb9c86bc0940a
Publikováno v:
Drones, Vol 6, Iss 11, p 317 (2022)
Automatic detection of flying drones is a key issue where its presence, especially if unauthorized, can create risky situations or compromise security. Here, we design and evaluate a multi-sensor drone detection system. In conjunction with standard v
Externí odkaz:
https://doaj.org/article/4531cdda7c9042fab93741da4b548fa9
Autor:
Fernando Alonso-Fernandez, Reuben A. Farrugia, Josef Bigun, Julian Fierrez, Ester Gonzalez-Sosa
Publikováno v:
IEEE Access, Vol 7, Pp 6519-6544 (2019)
The lack of resolution has a negative impact on the performance of image-based biometrics. While many generic super-resolution methods have been proposed to restore low-resolution images, they usually aim to enhance their visual appearance. However,
Externí odkaz:
https://doaj.org/article/fec8f12217304169b4e1ce067f57a420
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::426ea78c4fd251180aab864af886c913
https://doi.org/10.1016/j.patrec.2022.09.018
https://doi.org/10.1016/j.patrec.2022.09.018
Autor:
Fernando Alonso-Fernandez, Kiran B. Raja, R. Raghavendra, Christoph Busch, Josef Bigun, Ruben Vera-Rodriguez, Julian Fierrez
Publikováno v:
Information Fusion
The massive availability of cameras results in a wide variability of imaging conditions, producing large intra-class variations and a significant performance drop if heterogeneous images are compared for person recognition. However, as biometrics is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4c100b728adf6e350910e3180e0c631
https://doi.org/10.1016/j.inffus.2022.03.008
https://doi.org/10.1016/j.inffus.2022.03.008
As biometric technology is increasingly deployed, it will be common to replace parts of operational systems with newer designs. The cost and inconvenience of reacquiring enrolled users when a new vendor solution is incorporated makes this approach di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bee899cc1a4c32407dc8bac46b5a9152
http://arxiv.org/abs/2211.13554
http://arxiv.org/abs/2211.13554
