Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Josef Bigun"'
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:
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:
Martin Cooney, Josef Bigun
Publikováno v:
Frontiers in Robotics and AI, Vol 4 (2017)
This article addresses the problem of how a robot can infer what a person has done recently, with a focus on checking oral medicine intake in dementia patients. We present PastVision+, an approach showing how thermovisual cues in objects and humans c
Externí odkaz:
https://doaj.org/article/0553097cdd514baa81aefc24871b629d
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
Autor:
Fernando Alonso-Fernandez, Josef Bigun, Joaquin Gonzalez-Rodriguez, Javier Ortega-Garcia, K. Kollreider, Julian Fierrez, H. Fronthaler
Signal-quality awareness has been found to increase recognition rates and to support decisions in multisensor environments significantly. Nevertheless, automatic quality assessment is still an open issue. Here, we study the orientation tensor of fing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c19d986a4d4f1c5ff1159c1dfae549c0
http://arxiv.org/abs/2211.13557
http://arxiv.org/abs/2211.13557
Publikováno v:
BTAS
Current research in iris recognition is moving towards enabling more relaxed acquisition conditions. This has effects on the quality of acquired images, with low resolution being a predominant issue. Here, we evaluate a super-resolution algorithm use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a2d6dc412c3ee44f40d414eddba071b
http://arxiv.org/abs/2210.09765
http://arxiv.org/abs/2210.09765
Autor:
Ester Gonzalez-Sosa, Reuben A. Farrugia, Fernando Alonso-Fernandez, Josef Bigun, Julian Fierrez
Publikováno v:
IEEE Access, Vol 7, Pp 6519-6544 (2019)
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f008be077f8aa4ae3df1140492001b5c
http://arxiv.org/abs/2203.14203
http://arxiv.org/abs/2203.14203