Detailed Information

SpreeuwersLJ

Dr.ir. L.J. Spreeuwers (Luuk)
Assistant professor

Room:

Zilverling 4122

Phone:

+31 53 489 3368

E-mail:

@ut since :

September 01, 2005

Projects:

ISTRICE,

GUARANTEE,

BallJames,

NoQ,

NoQ2,

FFR,

FG,

PROSECCO,

PV3D,

BBfor2,

TEC4SE

Publications:

EPrints


Biography

Luuk Spreeuwers studied Electrical Engineering at the University of Twente, Netherlands from 1982-1988. The subject of his MSc thesis was Neural Networks in adaptive Control. In 1992 he obtained his PhD from the University of Twente. The title of his PhD-thesis is: Image Filtering with Neural Networks. Applications and Performance.
Subsequently Luuk Spreeuwers worked as a postdoc at the International Institute for Aerospace and Earth Sciences (ITC) in Enschede, Netherlands, the University of Twente in a SION project on 3-D image analysis of aerial image sequences and in Budapest at the Hungarian Academy of Sciences on a 3-D textures ERCIM project. From 1997-1999 he worked for an Amarican-Hungarian company: Mindmaker, Ltd. in Budapest as senior researcher in the area of image processing. From 1999-2005 Luuk Spreeuwers worked on 3-D modeling and segmentation of the left ventricle of the human heart in MRI at the Image Sciences Institute of the University Medical Center in Utrecht, the Netherlands..
Luuk Spreeuwers is a member of the Dutch Society for Pattern Recognition and Image Processing (NVPHBV).

Currently he investigates 2D and 3D face recognition at the chair for Biometric Pattern Recognition of the Services, Cyber Security and Safety group of the Faculty for Electrical Engineering, Mathematics and Informatics at the University of Twente. His main interests are model-based image processing, pattern recognition and biometrics.

Recent accomplishments:

  • Best paper award BIOSIG2017, with the paper "De-duplication using automated face recognition: a mathematical model and all babies are equally cute"
  • World records in 3D face recognition on the standard verification and identification benchmarks using FRGCv2 data (99.3% @FAR=0.1% and 99.4% rank 1), see:

    Spreeuwers, L.J. (2015) Breaking the 99% barrier: optimisation of 3D face recognition. IET Biometrics, online pre-publication. 10. ISSN 2047-4938

    and:

    Spreeuwers, L.J. (2011) Fast and Accurate 3D Face Recognition Using Registration to an Intrinsic Coordinate System and Fusion of Multiple Region classifiers.International Journal of Computer Vision, 93 (3). pp. 389-414. ISSN 0920-5691

  • Best Poster award 13th International Conference of the Biometrics Special Interest Group (BIOSIG 2014)
  • Member of Editorial Board IET Image Processing Journal
  • Member of Board of IEEE Benelux Section Signal Processing Chapter
  • Evaluation of Face Recognition for Automatic Border Control systems at Schiphol in the framework of the No-Q project, see:
Spreeuwers, L.J. and Hendrikse, A.J. and Gerritsen, K.J. (2012) Evaluation of automatic face recognition for automatic border control on actual data recorded of travellers at Schiphol Airport. In: 2012 BIOSIG - Proceedings of the International Conference of Biometrics Special Interest Group, 6-7 Sept. 2012, Darmstadt, Germany. pp. 1-6. Proceedings of the International Conference of Biometrics Special Interest Group. Gesellschaft für Informatik e.V.. ISSN 1617-5468 ISBN 978-1-4673-1010-9
  • Manager of PV3D project (on 3D forensic face recognition) together with NFI
  • Manager of the BallJames project with SciSports
  • Contribution to CEN/TC 224 - Recommendations for using biometrics in European Automated Border Control 
  • Organisation of 3D Face recognition symposium in Twente, 10 october, 2013

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