Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Luigi De Maio"'
Publikováno v:
Multimedia Tools and Applications. 82:11321-11336
Emotions recognition is widely applied for many tasks in different fields, from human-computer and human-robot interaction to learning platforms. Also, it can be used as an intrinsic approach for face recognition tasks, in which an expression-indepen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e15ec4cbaaf7243909bcaa78fa92199
https://doi.org/10.1007/s11042-022-13361-6
https://doi.org/10.1007/s11042-022-13361-6
The work shows a novel solution to create an access key which can be used within the transactions of electronic currencies, blockchain as well as in the field of computer security to guarantee a high level of secrecy, but also, with a high level of c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df00b6254779ab783a475288f697b5e3
http://hdl.handle.net/11386/4713003
http://hdl.handle.net/11386/4713003
Autor:
Julian Fierrez, Ruben Vera-Rodriguez, Stan Z. Li, Hugo Proença, Klemen Grm, Hazim Kemal Ekenel, Joel Brogan, Zhen Lei, Andrzej Pacut, Shengcai Liao, Vitomir Struc, Luigi De Maio, Ester Gonzalez-Sosa, Weronika Gutfeter, Javier Ortega-Garcia, Hailin Shi, Hua Gao, Mark S. Nixon, Michele Nappi, Xiangyu Zhu, Walter J. Scheirer, Daniel Riccio, Gokhan Ozbulak, Esam Ghaleb
Publikováno v:
IEEE Intelligent Systems. 33:41-67
Performing covert biometric recognition in surveillance environments has been regarded as a grand challenge, considering the adversity of the conditions where recognition should be carried out (e.g., poor resolution, bad lighting, off-pose and partia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eeb0e1a55fba6debecbc9de881a23022
https://doi.org/10.1109/mis.2018.033001416
https://doi.org/10.1109/mis.2018.033001416
Publikováno v:
SITIS
Individual biometric traits can seldom fulfill the requirements of security systems in the wild, so researchers were led to investigate multi-biometric/multi-modal systems. This has produced increasing demand for datasets suitable for validating mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56c64112179662df57f07b9cab2b1546
https://doi.org/10.1109/sitis.2019.00124
https://doi.org/10.1109/sitis.2019.00124
Publikováno v:
BioMS
In studies related to soft biometrics, the iris has been considered as a potential predictor for ethnicity and gender [1]. Qiu et al. have used specific features in the texture of the iris to determine ethnicity — Asian vs. Caucasian [2]. A similar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::050a13cb642a93b7677742fb0395f600
https://doi.org/10.1109/bioms.2012.6345780
https://doi.org/10.1109/bioms.2012.6345780