Expertises
Engineering & Materials Science
# Biometrics
# Cameras
# Classifiers
# Experiments
# Face Recognition
# Image Resolution
Business & Economics
# Face Recognition
# Likelihood Ratio
Verbonden aan
Publicaties
Recent
Kelly, U. M.
, Spreeuwers, L.
, & Veldhuis, R. (2023).
Exploring Face De-Identification using Latent Spaces. In
2022 IEEE International Joint Conference on Biometrics (IJCB) (pp. 1-7). [10007990] (IEEE International Joint Conference on Biometrics (IJCB); Vol. 2022). IEEE.
https://doi.org/10.1109/IJCB54206.2022.10007990
Arican, T.
, Veldhuis, R.
, & Spreeuwers, L. (2022).
Fingers Crossed: An Analysis of Cross-Device Finger Vein Recognition. In A. Bromme, N. Damer, M. Gomez-Barrero, K. Raja, C. Rathgeb, A. F. Sequeira, M. Todisco, & A. Uhl (Eds.),
2022 International Conference of the Biometrics Special Interest Group (BIOSIG) IEEE.
https://doi.org/10.1109/BIOSIG55365.2022.9897029
Haasnoot, E.
, Spreeuwers, L. J.
, & Veldhuis, R. N. J. (2022).
Presentation attack detection and biometric recognition in a challenge-response formalism.
EURASIP journal on information security,
2022(1), [5].
https://doi.org/10.1186/s13635-022-00131-y
Lestriandoko, N. H.
, Veldhuis, R.
, & Spreeuwers, L. (2022).
The contribution of different face parts to deep face recognition.
Frontiers in Computer Science,
4, 1-16. [958629].
https://doi.org/10.3389/fcomp.2022.958629
Ramesh, D. S., Heijnen, S., Hekster, O.
, Spreeuwers, L.
, & de Wit, F. (2022).
Facial recognition as a tool to identify Roman emperors: towards a new methodology.
Humanities and Social Sciences Communications,
9(1), [78].
https://doi.org/10.1057/s41599-022-01090-y
Normakristagaluh, P.
, Laanstra, G. J.
, Spreeuwers, L.
, & Veldhuis, R. (2022).
Understanding and modeling finger vascular pattern imaging.
IET Image Processing,
16(5), 1280-1292.
https://doi.org/10.1049/ipr2.12408
Spreeuwers, L., Schils, M.
, Veldhuis, R.
, & Kelly, U. (2022).
Practical Evaluation of Face Morphing Attack Detection Methods. In C. Rathgeb, R. Tolosana, R. Vera-Rodriguez, & C. Busch (Eds.),
Handbook of Digital Face Manipulation and Detection: From DeepFakes to Morphing Attacks (pp. 351-365). (Advances in Computer Vision and Pattern Recognition). Springer Science + Business Media.
https://doi.org/10.1007/978-3-030-87664-7_16
Spreeuwers, L. (2021).
Morphing Attacks on Face Recognition Systems. Norwegian Biometrics Laboratory Annual Workshop, EAB/NBLAW 2021, Online.
Zeng, D.
, Veldhuis, R.
, & Spreeuwers, L. (2021).
A survey of face recognition techniques under occlusion.
IET biometrics,
10(6), 581-606.
https://doi.org/10.1049/bme2.12029
Pure Link
Google Scholar Link
Vakken Collegejaar 2022/2023
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken Collegejaar 2021/2022
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(gebouwnr. 11), kamer 4067
Hallenweg 19
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4067
Postbus 217
7500 AE Enschede