Curriculum vitae - Johann Radon Institute for Computational and ...

Curriculum vitae
Personal details
Title(s), initial(s), first name, surname: PD Dr.habil. Ir. A. (Arjan) Kuijper
Male/female: male
Date and place of birth: December 23 th 1970, Alkmaar, the Netherlands
Nationality: Dutch
Marital status: Married, 2 children
Postal address Fraunhofer Institute for Computer Graphics Research
& Graphical Interactive Systems, CS, TU Darmstadt,
Fraunhoferstrasse 5,
64283 Darmstadt, Germany
Telephone +49 (0)6151 155-103
Fax +49 (0)6151 155-431
E-mail arjan.kuijper@igd.fraunhofer.de, arjan.kuijper@gris.tu-darmstadt.de
WWW-page http://www.gris.tu-darmstadt.de/˜akuijper/
Education
Habilitation & Venia Legendi
Institute for Computer Graphics and Vision, Technical University Graz, Austria.
Title of thesis: Deep Structure, Singularities, and Computer Vision
Date: October 30 th , 2009
Doctorate
Faculty of Mathematics and Computer Science, Utrecht University, the Netherlands.
Title of thesis: The Deep Structure of Gaussian Scale Space Images
Date: June 17 th , 2002
Master
Department of Applied Analysis, Faculty of Applied Mathematics, University of Twente, the Netherlands.
Title of thesis: Image Restoration in Forensic Research using Minimal Total Variation or Maximum Entropy
Date: December 4 th , 1995
Partially carried out at the Netherlands Forensic Institute, Rijswijk, the Netherlands.
Secondary School
C.S.G. Jan Arentsz, Alkmaar, the Netherlands
Date: May, 1989
Eight final courses (7 obligatory): Dutch, English, Latin, Mathematics A, Mathematics B, Physics, Chemistry,
Economy I
Languages
Dutch: native
English: fluent
German: good
Danish: moderate
1

Work experience since graduating
07-2010/ Board member of “Future Internet”, one of the 5 research focus areas of TU Darmstadt.
06-2010/ Privat dozent (independent senior private lecturer), Graphical Interactive Systems Group,
TU Darmstadt, Darmstadt, Germany.
12-2009/ Privat dozent (independent senior private lecturer), TU Graz, Graz, Austria.
11-2008/ Research Coach - Responsible for managing and disseminating scientific research.
Fraunhofer Institute for Computer Graphics Research (IGD), Darmstadt, Germany.
03-2008/10-2008 External lecturer, Graz University of Technology, Graz, Austria.
11-2006/10-2008 Senior Research Scientist.
Johann Radon Institute for Computational and Applied Mathematics (RICAM),
Austrian Academy of Sciences, Linz, Austria.
- WWTF: Mathematical Methods in Arts: Diffusion Equations.
10-2006/10-2008 External lecturer, Johannes Kepler University, Linz, Austria.
11-2005/10-2006 Senior Research Scientist.
Johann Radon Institute for Computational and Applied Mathematics (RICAM),
Austrian Academy of Sciences, Linz, Austria. (50%)
Wittgenstein Group, Department of Mathematics,
University of Vienna, Austria. (50%)
- Wittgenstein Award Markowich 2000: PDEs and image analysis.
- FFG: Analysis of Digital Images with PDEs.
10-2005/10-2005 Scientific consultant.
Wittgenstein Group, Department of Mathematics,
University of Vienna, Austria.
- Wittgenstein Award Markowich 2000: PDEs and image analysis.
01-2003/09-2005 Assistant Research Professor.
Department of Innovation, Image Group, IT-University of Copenhagen, Denmark.
- IST: Deep Structure, Singularities, and Computer Vision.
04-2002/12-2002 Postdoc.
Institute of Information and Computing Sciences, Faculty of Mathematics and
Computer Science, Utrecht University, The Netherlands.
- IOP: Co-registration of 3D images.
10-2001/03-2002 Research assistant.
Institute of Information and Computing Sciences, Faculty of Mathematics and
Computer Science, Utrecht University, The Netherlands.
- IST: Novel Techniques for Describing Shapes in Computer Graphics and Image Processing.
10-1997/09-2001 PhD student.
Institute of Information and Computing Sciences, Faculty of Mathematics and
Computer Science, Utrecht University, The Netherlands.
01-1996/09-1997 Software analyst, consultant and advisor.
ELTRA Parking Group, Ede, The Netherlands.
Paternity leave
04-2002/12-2002 0.2 fte.
02-2005/04-2005 1.0 fte.
Research Keywords
Computer Vision, Computer Graphics, Human Computer Interaction, Image Processing, Pattern Recognition,
BioMedical Imaging, Mathematical Methods for Computer Vision and Image Processing: Variational Methods,
Partial Differential Equations, and Singularity Theory.
2

Projects
• Involved in various projects of Fraunhofer IGD and TU Darmstadt.
• Co-author of the granted proposal “Mathematical Methods for Image Analysis and Processing in the Visual
Arts” (2006).
Funding volume: 400,000 Euro, project duration: 4 years, Funding organisation: WWTF (Vienna Science
and Technology Fund).
• Participant in the project “Analyse Digitaler Bilder mit Methoden der Differenzialgleichungen” (2006) of
the FFG - the Austrian National Science Foundation.
Collaboration with the University of Vienna, the University of Linz, UCLA in Los Angeles, and the Ecole
Normale e Superieur in Cachan, as well as the industrial partners Phase One and Nikon Austria.
• Participant in the “Wittgenstein 2000 Award” grant of the Austrian Science Fund (FWF), awarded to Prof.
P. Markowich, Dept. of Mathematics, University of Vienna.
Grant size: approximately 1.5 Mio EURO, funding period: 5 years.
• Participant in an IST Programme of the European Union (IST-2001-35443), referred to by the acronym
DSSCV (“Deep Structure, Singularities, and Computer Vision”). Duration period: October 2002–September
2005, see also http://www.itu.dk/Internet/sw1953.asp
Collaboration of the IT University of Copenhagen (Denmark), Eindhoven University of Technology (The Netherlands),
University of Liverpool (United Kingdom), and University of Copenhagen, (Denmark).
• Participant in an IOP project of the Dutch Ministry of Economic Affairs: Co-registration of 3D images, see
also http://www.senternovem.nl/iop beeldverwerking/index.asp.
• Participant in an IST Programme of the European Union (IST-1999-29008), referred to by the acronym
NODES (Novel Techniques for Describing Shapes in Computer Graphics and Image Processing), see also
http://skynet.liacs.nl/nodes/bin/nodes.cgi.
Collaboration of Leiden University, Eindhoven University of Technology, Utrecht University, (The Netherlands),
Ecole Nationale Superieure des Mines de Saint-Etienne (France), and Braunschweig University of
Technology (Germany).
• Practical training period: Department of Mathematics, ˚Abo Akademi, ˚Abo (Turku), Finland (three months,
1994), project: ’Continuity of the stationary distribution’. Funding organisation: Erasmus.
3

Co-supervised PhD Students
• Defended: 10, of which 4 summa cum laude
• Handed-in: 1
• In progress: 9
Teaching activities at academic level
• Teaching of university courses:
– “Einführung in Human Computer Systems”, 1 st year basic course for CS students (over 550 registered
participants), Technical University Darmstadt, spring 2011 –.
– “Scale Space and PDE methods in image analysis and processing”, regular course, Technical University
Darmstadt, spring 2009 –.
– “Programmierung eines graphischen Systems”, regular course, Technical University Darmstadt, every
semester 2010 –.
– “Fortgeschrittene Programmierung eines graphischen Systems”, regular course, Technical University
Darmstadt, every semester 2011 –.
– “Mathematical models in image analysis and processing”, MSc. course, Technical University Graz,
spring 2008.
– “Mathematics for Chemists II”, regular course, Kepler University Linz, spring 2008.
– “Level Sets and Dynamic Implicit Surfaces”, MSc. course, Kepler University Linz, spring 2007.
– “Image Analysis and Processing”, MSc. course, Kepler University Linz, fall 2006.
– “Scale Space”, PhD. course, IT-University of Copenhagen, 2003.
– “Beschrijven en bewijzen”, regular course, Utrecht University, 2000–2001.
– “Algorithmen & Datastructuren”, regular course, Utrecht University, 1998–2000.
– “Software Tools”, regular course, Utrecht University, 1998.
• Every semester: Presentations regarding to Scientific Research, Writing and Presenting Papers, and Writing
a PhD Thesis, 2008 –.
• Supervision and coordination of internships and MSc. & BSc. theses (> 10): 2007 –.
• Jury member “Jugend Forscht” (Youth conducts research), area Mathematics & Computer Science, Hessen
South, 2010 –.
• Coordination of a PhD course on Catastrophe Theory, Utrecht University, 1999.
• “Images, Mathematics, and Computers”, Introduction of mathematical topics for high school students,
Utrecht University, 2000–2001.
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Other academic activities
• (Co-)organizer / (Co-)chair of
– SSVM 20113 - the Third International Conference on Scale Space and Variational Methods in Computer
Vision (9th scale space, 7th VLSM). LNCS.
– S+SSPR 2012 (Hiroshima, Japan, November 7-9, 2012) in conjunction with ICPR 2012. LNCS.
– Cyberworlds 2012, September 25-27, 2012, Darmstadt, Germany. IEEE
– the 7th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
(IIHMSP), October 14-16 2011, Dalian, China. IEEE
– the 2nd International conference on Pervasive Computing, Signal Processing and Applications (PCSPA
2011), September 5-7 2011, Gjovik, Norway. IEEE
– 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
(IIHMSP), October 15-17 2010, Darmstadt, Germany. IEEE.
– 32nd annual conference of the German Association for Pattern Recognition (DAGM), September 22-24
2010, Darmstadt, Germany. LNCS.
– 7th International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA)
2010, February 17-19, 2010, Innsbruck, Austria. Acta Press.
– Future Challenges in Visual Computing, March 13 2009, Darmstadt, Germany.
– 32nd annual workshop of the Austrian Association for Pattern Recognition (OAGM/AAPR), OEAGM08,
May 26-27 2008, St. Magdalena, Austria. OCG.
– The role of scale and orientation in mathematical image analysis, 8-speaker mini-symposium at the
6th International Congress on Industrial and Applied Mathematics, ICIAM, July 16-20 2007, Zürich,
Switzerland.
– PDE methods for Bio-imaging, November 19 - November 23, 2007, workshop part of the “Special
Semester on Quantitative Biology analysed by Mathematical Methods”, RICAM, Linz, Austria.
– Image Analysis in the Life Sciences Theory and Applications, February 26 - 28, 2007, Linz / Hagenberg,
Austria.
– First International Workshop on Deep Structure, Singularities and Computer Vision, June 9–10, 2005,
Maastricht, the Netherlands. LNCS.
• Editorial Board Membership:
– Journal of Mathematical Imaging and Vision (JMIV), Kluwer, 2008–
– IAPR Newsletter, IAPR, 2009–
– The Open Artificial Intelligence Journal, Bentham, 2008–
– The Open Software Engineering Journal, Bentham, 2008–
• Reviewer for international peer reviewed journals:
– International Journal of Computer Vision,
– IEEE Transactions on Pattern Analysis and Machine Intelligence,
– IEEE Transactions on Image Processing,
– IEEE Transactions on Medical Imaging,
– Medical Image Analysis,
– Journal of Mathematical Imaging and Vision,
– SIAM Journal on Applied Mathematics,
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– SIAM Journal on Imaging Sciences,
– Image and Vision Computing,
– Pattern Recognition,
– Pattern Recognition Letters,
– Journal of Biomedical Optics,
– Computers & Graphics,
– Journal of Real-Time Image Processing,
– Electronic Letters in Computer Vision and Image Analysis,
– Journal of Pattern Recognition Research.
– Journal of Multimedia Processing and Technologies,
– ISPRS Journal of Photogrammetry and Remote Sensing,
– Journal of Zhejiang University-Science A
• Member of Programme Committees:
– 2012: ISPHT, VISAPP, ...
– 2011: SSVM, DAGM, OAGM, ISPHT, SIPA, VISAPP, SPPRA, SIP, ...
– 2010: ACCV, DAGM, SITIS, SIP, IMAGAPP, VISAPP, Biosignals.
– 2009: SSVM, SITIS, SIP, SPPRA, IMAGAPP, VISAPP, Biosignals.
– 2008: ICPR, SIP, SPPRA, Biosignals.
– 2007: SSVM, OAGM.
– 2005: ScaleSpace, DSSCV.
– 2003: ScaleSpace.
• Reviewer for international peer reviewed conferences:
– 2012: EG, VISAPP, ISPHT, ICASPP, VisGra, ...
– 2011: SSVM, EG, DAGM, ICIP, ICASSP, VISAPP, OAGM, SPPRA, SIPA, ISPHT, SIP, CGI, ISPA.
– 2010: ACCV, DAGM, SITIS, ICIP, ICPR, SIP, ICASSP, VISAPP, IMAGAPP, SPPRA, Biosignals.
– 2009: SSVM, ICCV, ACCV, ICIP, SITIS, OAGM, DAGM, SIP, ICASSP, IMAGAPP, VISAPP, SPPRA,
Biosignals.
– 2008: ICPR, ICIP, SIP, Bridges, SPPRA, Biosignals.
– 2007: SSVM, ICIP, OAGM.
– 2006: ECCV, ICIP.
– 2005: ICCV, DSSCV, ScaleSpace.
– 2003: ScaleSpace.
• Chairman of the Employees of the Johann Radon Institute for Computational and Applied Mathematics
(10.2007-10.2008).
• Adjoint member of the search and hearing committee for the full professorship “Computer Vision and Machine
Learning”, TU Darmstadt, 2010.
• Referee for funded research proposals:
– ERC - European Research Council (Starting Grant)
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– DFG - German Research Foundation (Graduiertenkolleg (Research Training Group), individual proposal)
– Wirtschaftsministerium Mecklenburg-Vorpommern (applied research)
– Fraunhofer Internal Programs (future technologies, joint research)
• Memberships:
– SIAM (Society for Industrial and Applied Mathematics) and the Activity Group on Imaging Science.
– IAPR (International Association for Pattern Recognition), via the Dutch (NHPHBV), Danish (DSAGM),
Austrian (OAGM), and German (DAGM) societies.
– IEEE (Institute of Electrical and Electronics Engineers, Inc.), IEEE Signal Processing Society.
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List of published and accepted publications
Books, Edited proceedings, Monographs
1. M. Goesele, S. Roth, A. Kuijper, B. Schiele, and K. Schindler, eds., Pattern Recognition (Proceedings of the
32nd DAGM), vol. 6376 of Lecture Notes in Computer Science. Springer-Verlag, Berlin Heidelberg, 2010.
ISBN 978-3-642-15985-5.
2. I. Echizen, J.-S. Pan, D. Fellner, A. Nouak, A. Kuijper, and L. C. Jain, eds., Intelligent Information Hiding
and Multimedia Signal Processing (Proceedings of the 6th International Conference). IEEE, 2010. ISBN
978-0-7695-4222-5.
3. B. Zagar, A. Kuijper, and H. Sahbi, eds., Signal Processing, Pattern Recognition and Applications (Proceedings
of the 7th International Conference). Acta Press, 2010. ISBN: 978-0-88986-822-9.
4. A. Kuijper, Deep Structure, Singularities, and Computer Vision. Habilitation thesis, Graz University of
Technology, 2009.
5. A. Kuijper, B. Heise, and L. Muresan, eds., 32nd annual workshop of the Austrian Association for Pattern
Recognition (OAGM/AAPR), OEAGM07, (St. Magdalena, Linz, Austria, May 26–27, 2008), OCG, 2008.
ISBN 978-3-85403-232-8
6. F. Bauer, A. Kuijper, and L. Muresan, eds., International Workshop on Image Analysis in the Life Sciences;
Theory and Applications, 2007.
7. A. Kuijper, P. Markowich, and O. Scherzer, eds., International Workshop on PDE methods for Bio-imaging,
2007.
8. O. Olsen, L. Florack, and A. Kuijper, eds., Deep Structure, Singularities, and Computer Vision, vol. 3753 of
Lecture Notes in Computer Science. Springer-Verlag, Berlin Heidelberg, 2005. ISBN 978-3-540-29836-6.
9. A. Kuijper, The Deep Structure of Gaussian Scale Space Images. PhD thesis, Utrecht University, 2002.
ISBN 9039330611.
10. A. Kuijper, “Image restoration in forensic research using minimal total variation or maximum entropy,”
Master’s thesis, University of Twente, the Netherlands, 1995.
Book chapters
1. Y. Jung, A. Kuijper, D. Fellner, M. Kipp, J. Gratch, and D. Thalmann, “Believable virtual characters in
human-computer dialogs,” in Eurographics 2011 (April 11 - 11, 2011, Llandudno, Wales, UK). State-of-the-
Art Reports, pp. 75–100, Eurographics Association, 2011.
2. A. Kuijper, B. Heise, Y. Zhou, L. He, and H. Wolinski, “Segmentation of clustered cells in microscopy
images by geometric pdes and level sets,” in Handbook of Biomedical Imaging (N. Paragios, J. Duncan, and
N. Ayache, eds.), Springer, 2012. in press.
3. E. Gutzeit, S. Ohl, J. Voskamp, A. Kuijper, and B. Urban, “Automatic wood log segmentation using graph
cuts,” in Computer Vision, Imaging and Computer Graphics. Theory and Applications, VISIGRAPP 2010.
Revised Selected Papers (P. Richard and J. Braz, eds.), vol. 229 of Communications in Computer and Information
Science, pp. 96–109, Springer, 2011.
4. X. Zhou, A. Kuijper, and C. Busch, “Template protection for 3D face recognition,” in Face Recognition
(M. Oravec, ed.), ch. 17, pp. 315–328, Sciyo, 2010. ISBN 978-953-307-060-5.
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5. T. von Landesberger, A. Kuijper, T. Schreck, J. Kohlhammer, J. J. van Wijk, J.-D. Fekete, and D. Fellner,
“Visual analysis of large graphs,” in Eurographics 2010 (May 2 - 7, 2010, Norrkoping, Sweden). State-ofthe-Art
Reports, pp. 113–136, Eurographics Association, 2010.
International refereed journals
1. K. Schwenk, A. Kuijper, J. Behr, and D. Fellner, “Practical noise reduction for progressive stochastic ray
tracing with perceptual control,” IEEE Computer Graphics and Applications, vol. x, no. x, pp. xx–xx, 2012.
accepted.
2. S. Yoon and A. Kuijper, “Sketch-based 3d model retrieval using compressive sensing classification,” Electronics
Letters, vol. 47, no. 21, pp. 1181–1183, 2011.
3. F. Wientapper, H. Wuest, and A. Kuijper, “Composing the feature map retrieval process for robust and
ready-to-use monocular tracking,” Computers & Graphics, vol. 35, no. 4, pp. 778–788, 2011.
4. T. von Landesberger, A. Kuijper, T. Schreck, J. Kohlhammer, J. J. van Wijk, J.-D. Fekete, and D. Fellner,
“Visual analysis of large graphs: State-of-the-art and future research challenges,” Computer Graphics
Forum, vol. 30, no. 6, pp. 1719–1749, 2011.
5. A. Kuijper, “Geometrical pdes based on second order derivatives of gauge coordinates in image processing,”Image
and Vision Computing, vol. 27, no. 8, pp. 1023–1034, 2009.
6. A. Kuijper, “Exploring and exploiting the structure of saddle points in Gaussian scale space,” Computer
Vision and Image Understanding, vol. 112, no. 3, pp. 337–349, 2008.
7. A. Kuijper, “Deriving the medial axis with geometrical arguments for planar shapes,” Pattern Recognition
Letters, vol. 28, no. 15, pp. 2011–2018, 2007.
8. A. Kuijper, O. Olsen, P. Giblin, and M. Nielsen, “Alternative 2D shape representations using the symmetry
set,” Journal of Mathematical Imaging and Vision, vol. 26, pp. 127–147, November 2006.
9. A. Kuijper and L. M. J. Florack, “Using catastrophe theory to derive trees from images,” Journal of Mathematical
Imaging and Vision, vol. 23, no. 3, pp. 219–238, 2005.
10. A. Kuijper, “Mutual information aspects of scale space images,” Pattern Recognition, vol. 37, no. 12,
pp. 2361–2373, 2004.
11. A. Kuijper and L. Florack, “The relevance of non-generic events in scale space models,” International Journal
of Computer Vision, vol. 1, no. 57, pp. 67–84, 2004.
12. A. Kuijper, “On detecting all saddle points in 2D images,” Pattern Recognition Letters, vol. 25, no. 5,
pp. 1665–1672, 2004.
13. A. Kuijper, L. M. J. Florack, and M. A. Viergever, “Scale space hierarchy,” Journal of Mathematical Imaging
and Vision, vol. 18, pp. 169–189, April 2003.
14. A. Kuijper and L. Florack, “The hierarchical structure of images,” IEEE Transactions on Image Processing,
vol. 12, no. 9, pp. 1067–1079, 2003.
15. L. M. J. Florack and A. Kuijper, “The topological structure of scale-space images,” Journal of Mathematical
Imaging and Vision, vol. 12, pp. 65–80, February 2000.
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International refereed conference proceedings (full papers, published as book chapters)
1. X. Zhou, A. Kuijper, and C. Busch, “Cracking iris fuzzy commitment,” in Fifth IAPR/IEEE International
Conference on Biometrics (March 30 - April 1, 2012, New Delhi, India), pp. 1–7, IEEE, 2012.
2. T. Schreck, M. Scherer, M. Walter, B. Bustos, S. M. Yoon, and A. Kuijper, “Graph-based combinations of
fragment descriptors for improved 3d object retrieval,” in ACM Multimedia Systems Conference - MMSYS
2012 (February 22-24, 2012, Chapel Hill, North Carolina, USA), pp. 1–6, ACM, 2012.
3. T. Kalbe, A. Schwarzkopf, M. Goesele, A. Kuijper, and C. Bajaj, “Volumetric nonlinear anisotropic diffusion
on GPUs,” in Third International Conference on Scale Space Methods and Variational Methods in Computer
Vision (SSVM) (May 29th - June 2nd, 2011, Ein Gedi, Israel), LNCS 6667, pp. 62–73, 2012.
4. A. Kuijper, “The multi-scale hierarchy of shapes,” in 1st Workshop on Deep Hierarchies in Vision (Vienna,
Austria, 21 February 2012), pp. 1–2, 2012.
5. A. Kuijper, “The gaussian scale space hierarchy of images,” in 1st Workshop on Deep Hierarchies in Vision
(Vienna, Austria, 21 February 2012), pp. 1–2, 2012.
6. S. Kahn, P. Hartmann, U. Bockholt, and A. Kuijper, “Towards symmetry axis based markerless motion
capture,” in 8th Workshop on Virtual Reality Interaction and Physical Simulation - VRIPHYS 2011 (Lyon,
France, 5-6 December 2011), pp. 73–82, Eurographics Association, 2011.
7. X. Zhou, A. Kuijper, R. Veldhuis, and C. Busch, “Quantifying privacy and security of biometric fuzzy commitment,”
in International Joint Conference on Biometrics - IJCB2011 (October 11-13, 2011, Washington
DC, USA), pp. xx–xx, IEEE, 2011.
8. M. Scherer, E. Rosert, and A. Kuijper, “Utilizing symmetry of convolution kernels for precomputation,” in
2nd International conference on Pervasive Computing, Signal Processing and Applications (PCSPA 2011)
(September 5-7 2011, Gjovik, Norway), pp. 1–4, IEEE, 2011. accepted.
9. S. Reidt, P. Ebinger, S. D. Wolthusen, and A. Kuijper, “Resource-constrained signal propagation modeling
for tactical mobile ad hoc networks,” in IEEE First International Workshop on Network Science (NSW),
pp. 67–74, IEEE, 2011.
10. A. Binotto, C. E. Pereira, A. Kuijper, A. Stork, and D. Fellner, “An effective dynamic scheduling runtime
and tuning system for heterogeneous multi and many-core desktop platforms,” in 13th IEEE International
Conference on High Performance Computing and Communications, IEEE HPCC-11 (September 2-4, 2011,
Banff, Alberta, Canada), pp. 78–85, IEEE, 2011.
11. S. M. Yoon and A. Kuijper, “View-based 3d model retrieval using compressive sensing based classification,”
in 7th International Symposium on Image and Signal Processing and Analysis, ISPA 2011 (September 4-6,
2011, Dubrovnik, Croatia), pp. 437–442, IEEE, 2011.
12. S. M. Yoon and A. Kuijper, “3d model retrieval using the histogram of orientation of suggestive contours,”
in 7th International Symposium on Visual Computing (September 26-28, 2011, Las Vegas, Nevada, USA),
LNCS 6939, pp. 367–376, 2011.
13. F. Wientapper, H. Wuest, and A. Kuijper, “Reconstruction and accurate alignment of feature maps for augmented
reality,” in 3DIMPVT 2011: The First Joint 3DIM/3DPVT Conference (Hangzhou, China, May
16-19, 2011), pp. 140–147, IEEE, 2011.
14. C. Stab, K. Nazemi, M. Breyer, D. Burkhardt, and A. Kuijper, “Interacting with semantics and time,” in HCI
International 2011 (9-14 July 2011, Orlando, Florida, USA), LNCS 6764, pp. 520–529, 2011.
15. D. Burkhardt, M. Breyer, K. Nazemi, and A. Kuijper, “Search intention analysis for user-centered adaptive
visualizations,” in HCI International 2011 (9-14 July 2011, Orlando, Florida, USA), LNCS 6765, pp. 317–
326, 2011.
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16. K. Nazemi, D. Burkhardt, M. Breyer, and A. Kuijper, “Modeling users for adaptive semantics visualizations,”
in HCI International 2011 (9-14 July 2011, Orlando, Florida, USA), LNCS 6766, pp. 88–97, 2011.
17. K. Nazemi, M. Breyer, J. Forster, D. Burkhardt, and A. Kuijper, “Interacting with semantics: A user-centered
visualization adaptation based on semantics data,” in HCI International 2011 (9-14 July 2011, Orlando,
Florida, USA), LNCS 6771, pp. 239–248, 2011.
18. K. Nazemi, C. Stab, and A. Kuijper, “A reference model for adaptive visualization systems,” in HCI International
2011 (9-14 July 2011, Orlando, Florida, USA), LNCS 6761, pp. 480–489, 2011.
19. Y. Jung, H. Graf, J. Behr, and A. Kuijper, “Mesh deformations in x3d via cuda with freeform deformation
lattices,” in HCI International 2011 (9-14 July 2011, Orlando, Florida, USA), LNCS 6774, pp. 343–351,
2011.
20. K. Nazemi, D. Burkhardt, A. Praetorius, M. Breyer, and A. Kuijper, “Adapting user interfaces by analyzing
data characteristics for determining adequate visualizations,” in HCI International 2011 (9-14 July 2011,
Orlando, Florida, USA), LNCS 6776, pp. 566–575, 2011.
21. D. Burkhardt, M. Breyer, C. Glaser, K. Nazemi, and A. Kuijper, “Classifying interaction methods to support
intuitive interaction devices for creating user-centered-systems,” in HCI International 2011 (9-14 July 2011,
Orlando, Florida, USA), LNCS 6765, pp. 20–29, 2011.
22. D. Burkhardt, M. Breyer, K. Nazemi, C. Stab, and A. Kuijper, “Semazoom: Semantics exploration by using
a layer-based focus and context metaphor,” in HCI International 2011 (9-14 July 2011, Orlando, Florida,
USA), LNCS 6776, pp. 491–499, 2011.
23. K. Nazemi, M. Breyer, and A. Kuijper, “User-oriented graph visualization taxonomy: A data-oriented examination
of visual features,” in HCI International 2011 (9-14 July 2011, Orlando, Florida, USA), LNCS
6776, pp. 576–585, 2011.
24. M. Breyer, K. Nazemi, C. Stab, D. Burkhardt, and A. Kuijper, “A comprehensive reference model for personalized
recommender systems,” in HCI International 2011 (9-14 July 2011, Orlando, Florida, USA), LNCS
6771, pp. 528–537, 2011.
25. A. Marinc, C. Stocklöw, A. Braun, C. Limberger, C. Hofmann, and A. Kuijper, “Interactive personalization
of ambient assisted living environments,” in HCI International 2011 (9-14 July 2011, Orlando, Florida,
USA), LNCS 6771, pp. 567–576, 2011.
26. R. Huff, T. Gierlinger, A. Kuijper, A. Stork, and D. Fellner, “A comparison of xPU platforms exemplified
with ray tracing algorithms,” in Symposium on Virtual and Augmented Reality 2011 - SVR2011 (Brazil, May
23-26, 2011), pp. 1–8, IEEE, 2011.
27. S. Klose, T. Engelke, and A. Kuijper, “Automatic projector calibration: A review of systems for nonexperienced
users,” in 6th International Conference on Computer Graphics Theory and Applications (GRAPP,
Algarve, Portugal, 5 - 7 March 2011), pp. 286–295, 2011.
28. S. M. Yoon, M. Scherer, T. Schreck, and A. Kuijper, “Sketch-based 3d model retrieval using diffusion
tensor fields of suggestive contours,” in ACM Multimedia 2010 - Multimedia Applications Track Full Paper
(October 25-29, 2010, Firenze, Italy), pp. 193–200, 2010.
29. M. Knuth, A. Kuijper, and J. Kohlhammer, “A geometry-shader-based adaptive mesh refinement scheme
using semiuniform quad/triangle patches and warping,” in 7th Workshop on Virtual Reality Interaction and
Physical Simulation - VRIPHYS 10 (Copenhagen, Denmark, 11 - 12 November 2010), pp. 21–29, Eurographics
Association, 2010.
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30. A. P. Binotto, B. M. Pedras, M. Goetz, A. Kuijper, C. E. Pereira, A. Stork, and D. W. Fellner, “Effective dynamic
scheduling on heterogeneous multi/manycore desktop platforms,” in 1st Workshop on Applications for
Multi and Many Core Architectures, Held in conjunction with the 22nd International Symposium on Computer
Architecture and High Performance Computing (SBAC PAD 2010) (October 27-30, 2010, Petropolis,
Rio de Janeiro, Brazil.), pp. 37–42, IEEE, 2010.
31. A. Binotto, D. Weber, C. Daniel, A. Stork, C. E. Pereira, A. Kuijper, and D. Fellner, “Iterative sle solvers
over a cpu-gpu platform,” in 12th IEEE International Conference on High Performance Computing and
Communications, IEEE HPCC-10 (September 1-3, 2010, Melbourne, Australia), pp. 305–313, IEEE, 2010.
32. X. Zhou, S. A. Sanchez, and A. Kuijper, “3D face recognition with local binary patterns,” in sixth International
Conference on Intelligent Information Hiding and Multimedia Signal Processing - IIHMSP2010
(Darmstadt, October 15-17, 2010), pp. 329–332, IEEE, 2010.
33. R. Huff, T. Neves, T. Gierlinger, A. Stork, A. Kuijper, and D. Fellner, “A general two-level acceleration structure
for interactive ray tracing on the gpu,” in Computer Graphics International 2010 - CGI10 (Singapore,
June 8-11, 2010), pp. 1–4, 2010.
34. R. Huff, T. Neves, T. Gierlinger, A. Stork, A. Kuijper, and D. Fellner, “OpenCl vs. Cuda for ray tracing,” in
Symposium on Virtual and Augmented Reality 2010 - SVR2010 (Brazil, May 24-27, 2010), pp. 1–4, 2010.
35. S. M. Yoon and A. Kuijper, “Query-by-sketch based image retrieval using diffusion tensor fields,” in 2nd
International Conference on Image Processing Theory, Tools and Applications - IPTA10 (Paris, France, July
7-10 2010), pp. 343–348, IEEE, 2010.
36. S. M. Yoon and A. Kuijper, “Human action recognition using segmented skeletal features,” in 20th International
Conference on Pattern Recognition - ICPR2010 (Istanbul, Turkey, August 23-26, 2010), pp. 3740–
3743, IEEE, 2010.
37. K. Schwenk, T. Franke, T. Drevensek, U. Bockholt, and A. Kuijper, “Adapting precomputed radiance transfer
to real-time spectral rendering,” in Eurographics 2010 (May 2 - 7, 2010, Norrkoping, Sweden). Short Papers
proceedings, pp. 49–52, Eurographics Association, 2010.
38. E. Gutzeit, B. Urban, S. Ohl, J. Voskamp, and A. Kuijper, “Setting graph cut weights for automatic foreground
extraction in wood,” in 5th International Conference on Computer Vision Theory and Applications
(VISAPP, Angers, France, 17 - 21 May 2010), vol. 2, pp. 60–67, 2010.
39. S. M. Yoon and A. Kuijper, “Object retrieval based on user-drawn sketches,” in 5th International Conference
on Computer Vision Theory and Applications (VISAPP, Angers, France, 17 - 21 May 2010), vol. 2, pp. 292–
299, 2010.
40. H. Seibert, D. Hildenbrand, M. Becker, and A. Kuijper, “Estimation of curvatures in point sets based on
geometric algebra,” in 5th International Conference on Computer Vision Theory and Applications (VISAPP,
Angers, France, 17 - 21 May 2010), vol. 1, pp. 12–19, 2010.
41. M. Knuth, J. Kohlhammer, and A. Kuijper, “Embedding hierachical deformation within a realtime scene
graph,” in 5th International Conference on Computer Graphics Theory and Applications (GRAPP, Angers,
France, 17 - 21 May 2010), pp. 246–253, 2010.
42. K. Schwenk, U. Bockholt, and A. Kuijper, “Modeling wavelength-dependent brdfs as factored tensors for
real-time spectral rendering,” in 5th International Conference on Computer Graphics Theory and Applications
(GRAPP, Angers, France, 17 - 21 May 2010), pp. 165–172, 2010.
43. S. M. Yoon and A. Kuijper, “3D volume data segmentation from superquadric tensor analysis,” in 5th International
Conference on Computer Graphics Theory and Applications (GRAPP, Angers, France, 17 - 21 May
2010), pp. 72–77, 2010.
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44. L. H. Wendt, A. Stork, and A. Kuijper, “3D reconstruction from line drawings,” in 5th International Conference
on Computer Graphics Theory and Applications (GRAPP, Angers, France, 17 - 21 May 2010),
pp. 65–71, 2010.
45. M. Burisch, D. Guerrero Ichaso, and A. Kuijper, “Stripe propagation for color encoded structured light,”
in 5th International Symposium on 3D Data Processing, Visualization and Transmission - 3DPVT (Paris,
France, May 17-20 2010), pp. 1–8, IEEE, 2010.
46. S. M. Yoon and A. Kuijper, “3D human action recognition using model segmentation,” in International Conference
on Image Analysis and Recognition - ICIAR 2010 (June 21-23, 2010, Povoa de Varzim, Portugal).
LNCS 6111, pp. 189–199, 2010.
47. X. Zhou, S. Wolthusen, C. Busch, and A. Kuijper, “Feature correlation attack on biometric privacy protection
schemes,” in Fifth International Conference on Intelligent Information Hiding and Multimedia Signal
Processing - IIHMSP2009 (September 12-14, 2009, Kyoto, Japan), pp. 1061–1065, IEEE, 2009.
48. X. Zhou, C. Busch, S. Wolthusen, and A. Kuijper, “A security analysis of biometric template protection
schemes,” in International Conference on Image Analysis and Recognition - ICIAR 2009 (July 6-8, 2009,
Halifax, Canada). LNCS 5627, pp. 429–438, 2009.
49. T. Reitz and A. Kuijper, “Applying instance visualisation and conceptual schema mapping for geodata harmonisation,”
in Advances in GIScience, Proceedings of the 12th AGILE Conference, Hannover, Germany,
2-5 June 2009. Lecture Notes in Geoinformation and Cartography, pp. 173–194, Springer, 2009.
50. A. Kuijper, “Transitions of a multi-scale image hierarchy tree,” in Scale Space and Variational Methods in
Computer Vision, Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings.
Lecture Notes in Computer Science 5567, pp. 844–855, 2009.
51. T. Kalbe, S. Fuhrmann, S. Uhrig, F. Zeilfelder, and A. Kuijper, “A new projection method for point set
surfaces,” in Eurographics 2009 (March 30 to April 3, 2009, Munich, Germany). Short Papers proceedings,
pp. 77–80, Eurographics Association, 2009.
52. A. Kuijper and B. Heise, “Automatic cell segmentation method for differential interference contrast (DIC)
microscopy,” in International Conference on Pattern Recognition 2006 (ICPR08, Tampa, Florida, Dec
2008), pp. 1–4, IEEE, 2008.
53. A. Kuijper and W. Kuijper, “Imaging, mathematics, and art,” in Bridges 2008, pp. 473–474, 2008.
54. M. Kostner, A. Kuijper, and F. Schubert, “Diffusion processes and light installations: Mathematics, visualisation,
and perception,” in Bridges 2008, pp. 265–272, 2008.
55. F. Schubert, A. Kuijper, and M. Kostner, “Image stitching: From mathematics to arts,” in Bridges 2008,
pp. 401–404, 2008.
56. Y. Zhou, A. Kuijper, and L. He, “Multiphase level set method and its application in cell segmentation,” in
5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA
2008, Innsbruck, Austria, February 13 15, 2008), pp. 134–139, 2008.
57. A. Kuijper, Y. Zhou, and B. Heise, “Clustered cell segmentation based on iterative voting and the level set
method,” in 3rd International Conference on Computer Vision Theory and Applications (VISAPP, Funchal,
Portugal, 22 - 25 January 2008), vol. I, pp. 307–314, 2008.
58. A. Kuijper, “Image analysis using p-laplacian and geometrical pdes,” in PAMM 7(1): (Special Issue: Sixth
International Congress on Industrial Applied Mathematics (ICIAM07) and GAMM Annual Meeting, Zrich
2007),pp. 1011201–1011202, 2007.
59. A. Kuijper, “Qualitative and quantitative behaviour of geometrical pdes in image processing,” in 8th Asian
Conference on Computer Vision, ACCV 2007 (Tokyo, Japan, Nov. 18-22, 2007), LNCS 4843, pp. 230–239,
2007.
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60. A. Kuijper and I. Havukkala, “Computationally efficient matching of microRNA shapes using mutual symmetry,”
in 9th IASTED International Conference on Signal and Image Processing, SIP 2007 (August 20 22,
2007 Honolulu, Hawaii, USA), pp. 477–482, 2007.
61. A. Kuijper, “p-laplacian driven image processing,” in 14th International Conference on Image Processing,
ICIP 2007 (San Antonio, Texas, USA, 16-19 September 2007), vol. V, pp. 257–260, IEEE, 2007.
62. A. Kuijper, “Image processing with geometrical and variational pdes,” in 31st annual workshop of the Austrian
Association for Pattern Recognition (OAGM/AAPR), OEAGM07, (Schloss Krumbach, Austria, May
3-4, 2007), pp. 89–96, 2007.
63. A. Kuijper, O. Olsen, P. Giblin, and P. Bille, “Matching shapes using the symmetry set,” in International
Conference on Pattern Recognition 2006, 20 - 24 August 2006, Hong Kong., vol. II, pp. 179–182, IEEE,
2006.
64. A. Kuijper and O. Olsen, “Describing and matching 2D shapes by their points of mutual symmetry,” in
9th European Conference on Computer Vision (Graz, Austria, May 7 - 13, 2006), Part III, LNCS 3953,
pp. 213–225, 2006.
65. A. Kuijper and O. Olsen, “Shapes, symmetry sets, and matching,” in 30th annual workshop of the Austrian
Association for Pattern Recognition (OAGM/AAPR), OEAGM06, (Obergurgl, Austria, March 2-3, 2006),
pp. 65–74, 2006.
66. A. Kuijper and O. Olsen, “The structure of shapes: Scale space aspects of the (pre-) symmetry set,” in Scale
Space and PDE Methods in Computer Vision, LNCS 3459, pp. 291–302, 2005.
67. A. Kuijper and O. Olsen, “Geometrical skeletonization using the symmetry set,” in IEEE Proceedings of the
International Conference on Image Processing - ICIP 2005, Genova, Italy, 11-13 September, 2005, vol. I,
pp. 497–500, IEEE, 2005.
68. A. Kuijper and O. Olsen, “Essential loops and their relevance for skeletons and symmetry sets,” in Deep
Structure, Singularities, and Computer Vision, LNCS 3753, pp. 24–35, 2005.
69. A. Kuijper and O. Olsen, “Computing 3D symmetry sets; a case study,” in Deep Structure, Singularities,
and Computer Vision, LNCS 3753, pp. 193–204, 2005.
70. A. Kuijper, “Exploiting deep structure,” in Deep Structure, Singularities, and Computer Vision, LNCS 3753,
pp. 169–180, 2005.
71. A. Kuijper and O. Olsen, “A symmetry set based 2D shape descriptor,” in 14th Danish conference on pattern
recognition and image analysis (S.I. Olsen (Ed.), DSAGM05, Kopenhagen, August 18-19, 2005), pp. 118–
123, 2005.
72. A. Kuijper and O. Olsen, “Transitions of the pre-symmetry set,” in Proceedings of the 17th International
Conference on Pattern Recognition, vol. III, pp. 190–193, IEEE, 2004.
73. A. Kuijper and O. Olsen, “On extending symmetry sets for 2D shapes,” in Proceedings of the Joint IAPR
International Workshops on Syntactical and Structural Pattern Recognition (SSPR 2004) and Statistical
Pattern Recognition (SPR 2004) Lisbon, Portugal, August 18-20, 2004, pp. 512–520, 2004. LNCS 3138.
74. A. Kuijper, O. Olsen, P. Giblin, P. Bille, and M. Nielsen, “From a 2D shape to a string structure using the
symmetry set,” in Proceedings of the 8th European Conference on Computer Vision, vol. II, pp. 313–326,
2004. LNCS 3022.
75. A. Kuijper, “Mutual information aspects of scale space images,” in 3rd IASTED International Conference
on Visualization, Imaging and Image Processing (VIIP 2003, Benalmadena, Spain, September 8-10, 2003),
vol. 1, pp. 317–322, 2003.
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76. A. Kuijper, “On manifolds in Gaussian scale space,” in Scale Space Methods in Computer Vision, LNCS
2695, pp. 1–16, 2003.
77. A. Kuijper, “Logical filtering in scale space,” in 12th Danish conference on pattern recognition and image
analysis (S.I. Olsen (Ed.), DSAGM03, Kopenhagen, August 21-22, 2003), pp. 4–11, 2003.
78. A. Kuijper and L. M. J. Florack, “The relevance of non-generic events in scale space,” in Proceedings of
the 7th European Conference on Computer Vision (Copenhagen, Denmark, May 28–31, 2002), LNCS 2350,
pp. 190–204, 2002.
79. A. Kuijper and L. M. J. Florack, “Understanding and modeling the evolution of critical points under Gaussian
blurring,” in Proceedings of the 7th European Conference on Computer Vision (Copenhagen, Denmark, May
28–31, 2002), LNCS 2350, pp. 143–157, 2002.
80. A. Kuijper and L. M. J. Florack, “Hierarchical pre-segmentation without prior knowledge,” in Proceedings
of the 8th International Conference on Computer Vision (Vancouver, Canada, July 9–12, 2001), pp. 487–493,
IEEE, 2001.
81. A. Kuijper and L. M. J. Florack, “Calculations on critical points under Gaussian blurring,” in Scale-Space
Theories in Computer Vision, LNCS 1682, pp. 318–329, 1999.
82. J. Bijhold, A. Kuijper, and J.-H. Westhuis, “Comparative study of image restoration techniques in forensic
image processing,” in SPIE Proceedings Vol. 2942, Leonid I. Rudin, Simon K. Bramble (Eds.): Investigative
Image Processing, Boston, MA, USA, 1996, pp. 10–21, SPIE, 1997.
Refereed (inter)national conferences, published abstracts
1. A. Kuijper, “Relevant Transitions of the Gaussian Scale Space Hierarchy,” in SIAM Conference on Imaging
Science, SIAM IS08 (San Diego, CA, USA, July 7-9, 2008, 2008.
2. A. Kuijper, “2D Shape Matching using Symmetry Sets,” in Geometry and Statistics of Shapes (Hausdorff
center, Bonn Germany, June 9-14, 2008, 2008.
3. A. Kuijper, “Singularities in Gaussian scale space that are relevant for changes in its hierarchical structure,”
in 79th Annual Meeting of the International Association of Applied Mathematics and Mechanics,
GAMM2008 (Bremen, Germany, 31 March - 4 April 2008), 2008.
4. A. Kuijper, “Image analysis using p-laplacian and geometrical pdes,” in 6th International Congress on Industrial
and Applied Mathematics, ICIAM 2007 (Zurich, Switzerland, 16-20 July 2007), p. 157, 2007.
5. A. Kuijper, “Pde-based topological image segmentation,” in Image Analysis and Inverse Problems (December
11th - 13th, 2006, Eindhoven, the Netherlands), 2006.
6. A. Kuijper, “Geometrical & p-laplacian pdes in image analysis,” in Variational and PDE Level Set Methods
(September 1st - 3rd, 2006, Obergurgl, Austria), 2006.
7. A. Kuijper and P. Markowich, “p-norm PDE’s,” in 2nd SIAM Conference on Imaging Science (Minneapolis,
USA, May 15-17, 2006.), 2006.
8. A. Kuijper and O. Olsen, “Multi-scale shape analysis using symmetry sets,” in 2nd SIAM Conference on
Imaging Science (Minneapolis, USA, May 15-17, 2006.), 2006.
9. A. Kuijper, P. Giblin, and O. F. Olsen, “Data structures from shapes using the symmetry set,” 2004. SIAM
Conference on Imaging Science, Salt Lake City, USA, May 3-5, 2004.
10. A. Kuijper, “On scale space saddles,” 2004. SIAM Conference on Imaging Science, Salt Lake City, USA,
May 3-5, 2004.
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11. A. Kuijper, “The deep structure of gaussian scale space images,” 2002. Spring meeting of the NVPHBV,
Amsterdam, the Netherlands, 15 May 2002.
12. A. Kuijper, “Hierarchical pre-segmentation without prior knowledge,” 2001. Spring meeting of the NVPHBV,
Amsterdam, the Netherlands, 17 April 2001.
13. A. Kuijper, J. Bijhold, J.-H. Westhuis, and Z. Geradts, “Comparative study of image restoration techniques
in forensic image processing,” 1998. Fall meeting of the NVPHBV, Best, the Netherlands, 20 November
1998.
14. A. Kuijper and L. M. J. Florack, “Calculations on critical points under Gaussian blurring,” 1998. Danish-
Dutch workshop, Utrecht, the Netherlands, October 1998.
IAPR articles / Book reviews
1. A. Kuijper, “Book review: Handbook of Pattern Recognition and Computer Vision, 4th Edition, by C.H. Chen.”
IAPR newsletter, 33 (3), 16–17, July 2011.
2. A. Kuijper, “DAGM 2010: 32nd Annual Symposium of the German Association for Pattern Recognition.”
IAPR newsletter, 33 (1), 22–25, January 2011.
3. A. Kuijper, “ICPR 2010 Impressions: Amazing Istanbul.” IAPR newsletter, 32 (4), 5–6, October 2010.
4. A. Kuijper, “Global Pattern Recognition Series: Visual Computing in Darmstadt, Germany.” IAPR newsletter,
31 (4), 3–6, October 2009.
5. A. Kuijper, “Inside the IAPR: Associate Editor for Book Reviews.” IAPR newsletter, 31 (4), 11, October
2009.
6. A. Kuijper, “Conference review: 32nd annual workshop of the Austrian Association for Pattern Recognition”
IAPR newsletter, 30 (3), 23–24, July 2008.
7. A. Kuijper, “Book review: Digital Image Processing: An Algorithmic Introduction using Java (W. Burger
and M.J. Burge).” IAPR newsletter, 30 (3), 14–16, July 2008.
8. A. Kuijper, “Book review: The dissimilarity representation for pattern recognition: Foundations and applications
(E. Pekalska and R.P.W. Duin).” IAPR newsletter, 30 (2), 8–9, April 2008.
9. A. Kuijper, “Book review: Geometric tomography (J. Gardner).” IAPR newsletter, 29 (4), 5–6, October
2007.
10. A. Kuijper, “Book review: Handbook of mathematical models in computer vision (Paragios, Chen, and
Faugeras (editors)).” IAPR newsletter, 28 (4), 20–21, October 2006.
Technical reports, pre-prints
1. A. Kuijper, “On the interactions of critical curves, catastrophe points, scale space saddles, and iso-intensity
manifolds in Gaussian scale space images under a one-parameter driven deformation,” Tech. Rep. 2008-12,
RICAM, 2008.
2. A. Kuijper, “p-Laplacian driven image processing,” Tech. Rep. 104, Wittgenstein Research Group Preprints,
2007.
3. A. Kuijper, “Image processing with geometrical and variational PDEs,” Tech. Rep. 103, Wittgenstein
Research Group Preprints, 2007.
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4. Y. Zhou, A. Kuijper, B. Heise, and L. He, “Cell segmentation using the level set method,” Tech. Rep.
2007-17, RICAM, 2007.
5. A. Kuijper and O. Olsen, “Describing and matching 2D shapes by their points of mutual symmetry,” Tech.
Rep. 94, Wittgenstein Research Group Preprints, 2006.
6. A. Kuijper, O. Olsen, P. Bille, and P. Giblin, “Matching 2D shapes using their symmetry sets,” Tech. Rep. 95,
Wittgenstein Research Group Preprints, 2006.
7. A. Kuijper and L. Florack, “Using catastrophe theory to derive trees from images,” Tech. Rep. 89, Wittgenstein
Research Group Preprints, 2006.
8. A. Kuijper, O. Olsen, P. Giblin, and M. Nielsen, “Alternative 2D shape representations using the symmetry
set,” Tech. Rep. 88, Wittgenstein Research Group Preprints, 2006.
9. A. Kuijper and O. Olsen, “Pre-symmetry set based shape matching,” Tech. Rep. TR-2005-72, IT University
of Copenhagen, 2005. ISBN 87-7949-106-5.
10. A. Kuijper and O. Olsen, “Matching 2D shapes using the symmetry set,” Tech. Rep. TR-2005-65, IT
University of Copenhagen, 2005. ISBN 87-7949-095-6.
11. A. Kuijper, “Simplifying structures by selectively specifying suited scale space saddles,” Tech. Rep. TR-
2004-53, IT University of Copenhagen, 2004. ISBN 87-7949-075-1.
12. A. Kuijper, “Computing symmetry sets from 3D shapes,” Tech. Rep. TR-2004-48, IT University of Copenhagen,
2004. ISBN 87-7949-070-0.
13. A. Kuijper, “On data structures from symmetry sets of 2D shapes,” Tech. Rep. TR-2004-47, IT University
of Copenhagen, 2004. ISBN 87-7949-069-7.
14. A. Kuijper, “Computing symmetry sets from 2D shapes,” Tech. Rep. TR-2003-36, IT University of Copenhagen,
2003. ISBN 87-7949-049-2.
15. A. Kuijper, “Mutual information aspects of scale space images,” Tech. Rep. UU-CS-2002-049, Department
of Computer Science, Utrecht University, 2002.
16. A. Kuijper and L. M. J. Florack, “Logical filtering in scale space,” Tech. Rep. UU-CS-2002-018, Department
of Computer Science, Utrecht University, 2002.
17. A. Kuijper and L. M. J. Florack, “The relevance of non-generic events in scale space models,” Tech. Rep.
UU-CS-2001-55, Department of Computer Science, Utrecht University, 2001.
18. A. Kuijper and L. M. J. Florack, “On the creation of critical points in scale space with application to medical
image analysis,” Tech. Rep. UU-CS-2001-25, Department of Computer Science, Utrecht University, 2001.
19. A. Kuijper and L. M. J. Florack, “The application of catastrophe theory to medical image analysis,” Tech.
Rep. UU-CS-2001-24, Department of Computer Science, Utrecht University, 2001.
20. A. Kuijper and L. M. J. Florack, “The application of catastrophe theory to image analysis,” Tech. Rep.
UU-CS-2001-23, Department of Computer Science, Utrecht University, 2001.
21. A. Kuijper, L. M. J. Florack, and M. A. Viergever, “Scale space hierarchy,” Tech. Rep. UU-CS-2001-19,
Department of Computer Science, Utrecht University, 2001.
22. A. Kuijper and L. M. J. Florack, “Hierarchical pre-segmentation without prior knowledge,” Tech. Rep.
UU-CS-2001-17, Department of Computer Science, Utrecht University, 2001.
23. A. Kuijper and L. M. J. Florack, “Calculations on critical points under Gaussian blurring,” Tech. Rep.
UU-CS-1999-12, Department of Computer Science, Utrecht University, 1999.
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24. L. M. J. Florack and A. Kuijper, “On the behaviour of critical points under Gaussian blurring,” Tech. Rep.
UU-CS-1998-34, Utrecht University, 1998.
25. L. M. J. Florack and A. Kuijper, “The topological structure of scale-space images,” Tech. Rep. UU-CS-
1998-31, Utrecht University, 1998.
Other invited and contributed lectures
1. “Volumetric Nonlinear Anisotropic Diffusion on GPUs”, Dagstuhl Seminar 11471: Efficient Algorithms for
Global Optimisation Methods in Computer Vision, Dagstuhl, Germany, November 2011.
2. “Image Processing and Analysis Visual Computing Darmstadt”, Inaugural lecture, Department of Computer
Science, UT Darmstadt, Germany, December 2010.
3. “On the role of scale in images and shapes”, Johann Bernoulli Institute for Mathematics and Computer
Science, University of Groningen, the Netherlands, June 2010.
4. “Images and partial differential equations”, 40th anniversary symposium of the Department of Mathematics,
University of Twente, the Netherlands, November 2009.
5. “On the role of scale in images and shapes”, Institute for Computer Graphics and Vision, Technical University
Graz, Austria, October 2009.
6. “Mathematical Imaging”, Dept. of Mathematics, University of Twente, the Netherlands, January 2009.
7. “Images at Multiple Scales”, Wolfgang Pauli Institute (WPI), Vienna, Austria, September 2007.
8. “Image analysis using p-Laplacian and geometrical PDEs”, Wolfgang Pauli Institute (WPI), Vienna, Austria,
June 2007.
9. “Inpainting with higher order energies”, part of the workshop “PDE’s and Variational Tools in Image Inpainting”,
Wolfgang Pauli Institute (WPI), Vienna, Austria, June 2007.
10. “Image analysis considered from a biological and mathematical point of view”, Fuzzy lab, Hagenberg,
Austria, December 2005.
11. “Images, Shapes, and Mathematics”, Wolfgang Pauli Institute, University of Vienna, Austria, September
2005.
12. “Mathematics, Images, and Shapes”, Department of Mathematics, University of Warwick, United Kingdom.
August 2005.
13. “Alternative Representations and Matching of Shapes”, Copenhagen, Denmark, October 2004.
14. “2D and 3D Symmetry Sets”, Prague, Czech Republic, May 2004.
15. “From a Shape to a Data Structure”, Nice, France, October 2003.
16. “Report on computing Symmetry Sets from 2D shapes by PDE methods”, Isle of Skye, UK, June 2003.
17. “Symmetry Sets”, Biomedial Imaging Group, Eindhoven Technical University, May 2003.
18. “Gaussian Scale Space Hierarchy”, IT-University of Copenhagen, Copenhagen, Denmark, November 2002.
19. “Implementational aspects of the Gaussian Scale Space Hierarchy”, IT-University of Copenhagen, Copenhagen,
Denmark, October 2002.
20. “The structure of images”, Signals and Images Seminar, CWI, Amsterdam, October 2002.
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21. “The classification of Gaussian Scale Space Manifolds”, IT-University of Copenhagen, Copenhagen, Denmark,
August 2002.
22. “Implementational issues of the Scale Space Hierarchy”, St. Etienne, April 2001.
23. “Scale Space Hierarchy”, Utrecht, November, 2000.
24. “SMILE: Smart Multi-scale Image Linking by Extrema”, ImagO meeting, Utrecht, May 2000.
19