Luuk Spreeuwers
Luuk Spreeuwers
Associate Professor Electrical Engineering, University of Twente
Verified email at - Homepage
Cited by
Cited by
Fast and accurate 3d face recognition
L Spreeuwers
International journal of computer vision 93 (3), 389-414, 2011
Level-set-based artery-vein separation in blood pool agent CE-MR angiograms
CM van Bemmel, LJ Spreeuwers, MA Viergever, WJ Niessen
IEEE Transactions on Medical Imaging 22 (10), 1224-1234, 2003
Biometric systems under morphing attacks: Assessment of morphing techniques and vulnerability reporting
U Scherhag, A Nautsch, C Rathgeb, M Gomez-Barrero, RNJ Veldhuis, ...
2017 International Conference of the Biometrics Special Interest Group …, 2017
The effect of image resolution on the performance of a face recognition system
BJ Boom, GM Beumer, LJ Spreeuwers, RNJ Veldhuis
2006 9Th international conference on control, automation, robotics and …, 2006
The facial appearance of CEOs: Faces signal selection but not performance
JI Stoker, H Garretsen, LJ Spreeuwers
PloS one 11 (7), e0159950, 2016
A survey of face recognition techniques under occlusion
D Zeng, R Veldhuis, L Spreeuwers
IET biometrics 10 (6), 581-606, 2021
Evaluation of automatic face recognition for automatic border control on actual data recorded of travellers at Schiphol Airport
LJ Spreeuwers, AJ Hendrikse, KJ Gerritsen
2012 BIOSIG-Proceedings of the International Conference of Biometrics …, 2012
Morphing Attack Detection-Database, Evaluation Platform, and Benchmarking
K Raja, M Ferrara, A Franco, L Spreeuwers, I Batskos, F de Wit, ...
IEEE transactions on information forensics and security 16, 4336-4351, 2020
Detection of left ventricular epi-and endocardial borders using coupled active contours
L Spreeuwers, M Breeuwer
International Congress Series 1256, 1147-1152, 2003
Towards robust evaluation of face morphing detection
L Spreeuwers, M Schils, R Veldhuis
2018 26th European Signal Processing Conference (EUSIPCO), 1027-1031, 2018
Automatic quantitative analysis of cardiac MR perfusion images
MM Breeuwer, LJ Spreeuwers, MJ Quist
Medical Imaging 2001: Image Processing 4322, 733-742, 2001
Robust 3D face recognition in the presence of realistic occlusions
N Alyüz, B Gökberk, L Spreeuwers, R Veldhuis, L Akarun
2012 5th IAPR International Conference on Biometrics (ICB), 111-118, 2012
Detecting morphed face attacks using residual noise from deep multi-scale context aggregation network
S Venkatesh, R Ramachandra, K Raja, L Spreeuwers, R Veldhuis, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
Evaluation of edge detectors using average risk
LJ Spreeuwers, F van der Heijden
International Conference on Pattern Recognition, 771-771, 1992
Morphed face detection based on deep color residual noise
S Venkatesh, R Ramachandra, K Raja, L Spreeuwers, R Veldhuis, ...
2019 Ninth International Conference on Image Processing Theory, Tools and …, 2019
A layer-based sequential framework for scene generation with gans
MO Turkoglu, W Thong, L Spreeuwers, B Kicanaoglu
Proceedings of the AAAI conference on artificial intelligence 33 (01), 8901-8908, 2019
Forensic face recognition: A survey
T Ali, R Veldhuis, L Spreeuwers
Centre for Telematics and Information Technology, University of Twente, Tech …, 2010
Neural network edge detector
LJ Spreeuwers
Nonlinear image processing II 1451, 204-215, 1991
Level-set based carotid artery segmentation for stenosis grading
CM van Bemmel, LJ Spreeuwers, MA Viergever, WJ Niessen
International Conference on Medical Image Computing and Computer-Assisted …, 2002
Predicting face recognition performance using image quality
A Dutta, R Veldhuis, L Spreeuwers
arXiv preprint arXiv:1510.07119, 2015
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