Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Messaoud Bengherabi"'
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 70, Iss 6 (2022)
Face Sketch Recognition (FSR) presents a severe challenge to conventional recognition paradigms developed basically to match face photos. This challenge is mainly due to the large texture discrepancy between face sketches, characterized by shape exag
Externí odkaz:
https://doaj.org/article/c2499c0e1ff04ea29fdac504e89bf332
Publikováno v:
In Engineering Applications of Artificial Intelligence April 2024 130
Publikováno v:
Multimedia Tools & Applications; Feb2024, Vol. 83 Issue 6, p15915-15937, 23p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Pedro C. Neto, Fadi Boutros, Joao Ribeiro Pinto, Naser Damer, Ana F. Sequeira, Jaime S. Cardoso, Messaoud Bengherabi, Abderaouf Bousnat, Sana Boucheta, Nesrine Hebbadj, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal Ekenel, Pedro Beber De Queiroz Vidal, David Menotti
This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 attracted a total of 3 participating teams, from academia. Eventually,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b650e04ffb5bc0b189ef2d0404aa9e6
http://arxiv.org/abs/2208.02760
http://arxiv.org/abs/2208.02760
Publikováno v:
Multimedia Tools and Applications. 77:16721-16739
The main novelty of this work resides in incorporating a Gammatone filter-bank as a substitute of the Mel filter-bank in the extraction pipeline of the Product Spectrum PS. The proposed feature is dubbed the Gammatone Product-Spectrum Cepstral coeffi
Autor:
Messaoud Bengherabi, Elhocine Boutellaa, Adel Oulefki, Ahmed Amine Tifarine, Aouache Mustapha
Publikováno v:
Signal, Image and Video Processing. 12:421-428
Enhancing facial images captured under different lighting conditions is an important challenge and a crucial component in the automatic face recognition systems. This work tackles illumination variation challenge by proposing a new face image enhance
Autor:
Mustafa Almahdi Algaet, Elhocine Boutellaa, Adel Oulefki, Messaoud Bengherabi, Aouache Mustapha
Publikováno v:
Multimedia Tools and Applications. 76:21961-21999
A face enhancement has the potential to play an important part in providing satisfactory and vast information to the face recognition performance. Therefore, a new approach for nonuniform illumination face enhancements (NIFE) was proposed by designin
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783030313203
IbPRIA (2)
IbPRIA (2)
A common challenge faced by face recognition community is struggling to circumvent face images that are acquired under low-light situation. The present work aims to couple the power of the popular CLAHE algorithm for face preprocessing with a Fuzzy i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0404b5e50421e565751d3378ddac92e1
https://doi.org/10.1007/978-3-030-31321-0_8
https://doi.org/10.1007/978-3-030-31321-0_8
Publikováno v:
2018 International Conference on Signal, Image, Vision and their Applications (SIVA).
Dysarthria is a neurological speech disorder that induces badly or no pronunciation of phonemes. In order to promote biometric identification of dysarthic speakers under constrained training scenario, we propose in this paper a recognition framework