Locality preserving binary face representations using auto‐encoders

Autor: Mohamed Amine Hmani, Dijana Petrovska‐Delacrétaz, Bernadette Dorizzi

Publikováno v: IET Biometrics, Vol 11, Iss 5, Pp 445-458 (2022)

Abstract Crypto‐biometric schemes, such as fuzzy commitment, require binary sources. A novel approach to binarising biometric data using Deep Neural Networks applied to facial biometric data is introduced. The binary representations are evaluated o

Externí odkaz: https://doaj.org/article/e83e95ce768345b899fd1b7b55ac3e7a

The EMPATHIC Virtual Coach: A demo

Autor: Sergio Escalera, Stephan Schlögl, Cristina Palmero, Gary Cahalane, Leila Ben Letaifa, Alain Vázquez, Raquel Justo, Anna Esposito, Kristin Beck Gjellesvik, Pau Buch, Asier López-Zorrilla, Gérard Chollet, Eduardo González-Fraile, Maria Stylianou Kornes, Cornelius Glackin, Dijana Petrovska-Delacrétaz, Begona Fernandez-Ruanova, Cesar Montenegro, Javier Mikel Olaso, Gennaro Cordasco, María Inés Torres, Daria Kyslitska, Aymen Mtibaa, Jose A. Lozano, Colin Pickard, Jofre Tenorio-Laranga, Anaïs Fernandez, Mikel de Velasco, Roberto Santana, Olivier Deroo, Mohamed Amine Hmani, Anna Torp Johansen, Olga Gordeeva

Publikováno v: ICMI

The main objective of the EMPATHIC project has been the design and development of a virtual coach to engage the healthy-senior user and to enhance well-being through awareness of personal status. The EMPATHIC approach addresses this objective through

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e739da7220f6120606004f2acbf1428c
http://hdl.handle.net/11591/457312

Methodologies of Audio-Visual Biometric Performance Evaluation for the H2020 SpeechXRays Project

Autor: Mohamed Amine Hmani, Javier Pérez, Dijana Petrovska-Delacrétaz, Ioannis Markopoulos, Jerome Boudy, Claude Bauzou, Aymen Mtibaa, Marcel Kockmann, Iacob Crucianu, Alexandru Nicolin, Ahmed Ben Hamida, Christian Narr, Emmanouil G. Spanakis

Publikováno v: ATSIP

Biometric recognition is nowadays widely used in different services and applications, making the user authentication easier and more secure than the traditional authentication system. Starting from this idea, the EU SpeechXRays project H2020 develope

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::64b059b91d66e9e7e324b5cb5f5c9dd0
https://doi.org/10.1109/atsip49331.2020.9231680

State-of-the-art face recognition performance using publicly available software and datasets

Autor: Mohamed Amine Hmani, Dijana Petrovska-Delacrétaz

Publikováno v: Proceedings ATSIP 2018 : 4th international conference on Advanced Technologies for Signal and Image Processing
ATSIP 2018 : 4th international conference on Advanced Technologies for Signal and Image Processing
ATSIP 2018 : 4th international conference on Advanced Technologies for Signal and Image Processing, Mar 2018, Sousse, Tunisia. pp.1-6, ⟨10.1109/ATSIP.2018.8364450⟩
ATSIP
2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)

We are interested in the reproducibility of face recognition systems. By reproducibility we mean: is the scientific community, and are the researchers from different sides, capable of reproducing the last published results by a big company, that has

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::105df3db704ccf65b3f1480ac237c7d3
https://hal.archives-ouvertes.fr/hal-01915929