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Luuk Spreeuwers
Luuk Spreeuwers
Associate Professor Electrical Engineering, University of Twente
Verified email at utwente.nl - Homepage
Title
Cited by
Cited by
Year
Fast and accurate 3d face recognition
L Spreeuwers
International journal of computer vision 93 (3), 389-414, 2011
1842011
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
1132003
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
882017
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
722006
The facial appearance of CEOs: Faces signal selection but not performance
JI Stoker, H Garretsen, LJ Spreeuwers
PloS one 11 (7), e0159950, 2016
632016
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
402012
Detection of left ventricular epi-and endocardial borders using coupled active contours
L Spreeuwers, M Breeuwer
International Congress Series 1256, 1147-1152, 2003
402003
Automatic quantitative analysis of cardiac MR perfusion images
MM Breeuwer, LJ Spreeuwers, MJ Quist
Medical Imaging 2001: Image Processing 4322, 733-742, 2001
402001
A survey of face recognition techniques under occlusion
D Zeng, R Veldhuis, L Spreeuwers
IET biometrics 10 (6), 581-606, 2021
382021
Towards robust evaluation of face morphing detection
L Spreeuwers, M Schils, R Veldhuis
2018 26th European Signal Processing Conference (EUSIPCO), 1027-1031, 2018
352018
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
342012
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
302020
Evaluation of edge detectors using average risk
LJ Spreeuwers, F van der Heijden
International Conference on Pattern Recognition, 771-771, 1992
301992
Forensic face recognition: A survey
T Ali, R Veldhuis, L Spreeuwers
Centre for Telematics and Information Technology, University of Twente, Tech …, 2010
292010
Neural network edge detector
LJ Spreeuwers
Nonlinear image processing II 1451, 204-215, 1991
291991
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
272002
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
262019
Automatic detection of myocardial boundaries in MR cardio perfusion images
L Spreeuwers, M Breeuwer
International Conference on Medical Image Computing and Computer-Assisted …, 2001
262001
Predicting face recognition performance using image quality
A Dutta, R Veldhuis, L Spreeuwers
arXiv preprint arXiv:1510.07119, 2015
252015
A bayesian model for predicting face recognition performance using image quality
A Dutta, R Veldhuis, L Spreeuwers
IEEE International Joint Conference on Biometrics, 1-8, 2014
252014
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Articles 1–20