Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Annette Morales-González"'
Publikováno v:
Multimedia Tools and Applications. 81:25853-25875
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71254d54aff36d757a684df21b20a38f
https://doi.org/10.1007/s11042-022-12516-9
https://doi.org/10.1007/s11042-022-12516-9
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:6517-6529
In the current world scenario the influence of the COVID19 pandemic has reached universal proportions affecting almost all countries. In this sense, the need has arisen to wear gloves or to reduce direct contact with objects (such as sensors for capt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e46ea9b282b033c53a82a95f94bf4111
https://doi.org/10.1007/s12652-021-03525-x
https://doi.org/10.1007/s12652-021-03525-x
Autor:
Heydi Méndez-Vázquez, Jacinto Rivero-Hernández, Lester Guerra Denis, Annette Morales-González
Publikováno v:
Pattern Recognition Letters. 146:237-243
Video face recognition generally includes a step where all descriptors extracted for each frame are aggregated to generate a single video face representation. The most commonly used operator for aggregation is average, which gives the same relevance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea49694e2cdcd096c1c9d3958dd3a401
https://doi.org/10.1016/j.patrec.2021.03.021
https://doi.org/10.1016/j.patrec.2021.03.021
Publikováno v:
Machine Vision and Applications. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d30cc295230dcd92acd25279c8e97d4
https://doi.org/10.1007/s00138-021-01269-4
https://doi.org/10.1007/s00138-021-01269-4
Autor:
Khawla Mallat, Fabiola Becerra-Riera, Annette Morales-González, Heydi Méndez-Vázquez, Jean-Luc Dugelay
Publikováno v:
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f23eb68cf3ee874c072e8d28d8170722
https://doi.org/10.5220/0010911100003122
https://doi.org/10.5220/0010911100003122
Publikováno v:
Artificial Intelligence Review. 52:1155-1187
The face is one of the most reliable and easy-to-acquire biometric features, widely used for the recognition of individuals. In controlled environments facial recognition systems are highly effective, however, in real world scenarios and under varyin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da9b5529750abb8c61f2d7d588e49d6b
https://doi.org/10.1007/s10462-019-09689-5
https://doi.org/10.1007/s10462-019-09689-5
Publikováno v:
ICPR
Most existing works regarding facial demographic estimation are focused on still image datasets, although nowadays the need to analyze video content in real applications is increasing. We propose to tackle gender, age and ethnicity estimation in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc6ca3ef240de619d2aea848087399a3
https://doi.org/10.1109/icpr48806.2021.9412164
https://doi.org/10.1109/icpr48806.2021.9412164
Autor:
Konstantin B. Bulatov, Rubén Sánchez-Rivero, Annette Morales-González, Pavel Bezmaternykh, Francisco José Silva-Mata
Publikováno v:
Progress in Artificial Intelligence and Pattern Recognition ISBN: 9783030896904
IWAIPR
IWAIPR
Text recognition has been one of the areas greatly benefited from deep learning (DL) development, as well as the preprocessing methods contained in its workflow. Within the document analysis field, identity (ID) documents play a crucial role and shou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3be2d877236dc74be83e2ed97b54b25
https://doi.org/10.1007/978-3-030-89691-1_14
https://doi.org/10.1007/978-3-030-89691-1_14
Publikováno v:
Pattern Recognition Letters. 113:3-9
Recent studies have shown that the use of soft biometrics (e.g. gender, ethnicity, facial marks) as supplementary information in face images, can increase the accuracy of the recognition process of individuals. Facial marks (e.g. moles, freckles, war
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::641c35eec26705b38fa0d83104235c6e
https://doi.org/10.1016/j.patrec.2017.05.005
https://doi.org/10.1016/j.patrec.2017.05.005
Autor:
Fabiola Becerra-Riera, Massimo Tistarelli, Heydi Méndez-Vázquez, Leyanis Lopez-Avila, Annette Morales-González
Publikováno v:
IWBF
Face sketch recognition is an important task for forensic investigations. In the last decades most of the sketches used by law enforcement agencies are composites made from real photos, using some specialized software. In this work we propose a new m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77d18b7e07a5989b841f95bcce019975
https://doi.org/10.1109/iwbf.2019.8739212
https://doi.org/10.1109/iwbf.2019.8739212