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Key Persons


Arnold W.M. Smeulders graduated from Technical University of Delft in physics in 1977 (M.Sc.) and in 1982 from Leyden University in medicine (Ph.D.) on the topic of visual pattern analysis. In 1994, he became full professor in multimedia information analysis at the University of Amsterdam. In 1996, he was treasurer of the Faculty and from 1997 until 2001 he served as the director of the Informatics Institute at the University of Amsterdam. He has a special interest in content-based image retrieval systems as well as systems for the analysis of video. Up to this day he graduated 18 PhD-students. He heads the ISIS research group of 15 Ph.D students and 10 staff members. He received a Fulbright grant to spend at Yale University in 1987, and a visiting professorship at the City University Hong Kong in 1996, and at ETL Tsukuba Japan in 1998. In 2000, he was elected fellow of International Association of Pattern Recognition. Until recently he was associated editor of IEEE transactions PAMI, and he is associated editor of Cytometry for 20 years. He is currently editing special issues for Pattern Recognition Letters (dedicated to Edzard Gelsema), the International Journal of Computer Vision (dedicated to content based image retrieval) and Computer Vision Interpretation and Understanding (dedicated to similarity). He is a member of the board of the International Association of Pattern Recognition. He was chairman of the program committee of many conferences including the IEEE Multimedia conference in Florence in 1999, and invited speaker at ICIP 2000. He was area chair on multimedia information to the ICME conference in Tokyo in 2001, in Singapore in 2004 and area chair on image and video retrieval to the IEEE CVPR conference in Hawaii in 2001.
Jan-Mark Geusebroek was born in 1971 in Amsterdam, The Netherlands. He received his Ph.D. in computer sciences from the University of Amsterdam in November, 2000. The thesis is titled "Color and Geometrical Structure in Images: Applications in Microscopy". Most of the research was carried out at Janssen Pharmaceuticals (Beerse, Belgium). He is currently a postdoctoral researcher in the Intelligent Sensory Information Systems (ISIS) group. His current research interest are in biologically inspired vision, especially color and texture vision. The current research concentrates on material recognition for retrieval from large image collections. He has published in IEEE transactions PAMI on color invariance and in Cytometry on tissue segmentation and autofocusing. Currently, he supervises Ph.D students on content based searching in biomedical

images.


Selected References


  • J. M. Geusebroek, R. van den Boomgaard, A. W. M. Smeulders, and H. Geerts. Color invariance. IEEE Trans. Pattern Anal. Machine Intell., 23(12):1338--1350, 2001.

  • J. M. Geusebroek, A. W. M. Smeulders, and H. Geerts. A minimum cost approach for segmenting networks of lines. Int. J. Comput. Vision, 43(2):99--111, 2001.

  • J. M. Geusebroek, A. W. M. Smeulders, F. Cornelissen, and H. Geerts. Segmentation of tissue architecture by distance graph matching. Cytometry, 35(1):12--33, 1999.

  • A.W.M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Anal. Machine Intell., 22(12):1349--1380, 2000.

  • A.W.M. Smeulders, J. M. Geusebroek, and T. Gevers. Invariant representation in image processing. In IEEE International Conference on Image Processing, volume III, pages 18--21. IEEE Computer Society, 2001.


C 7.5 UBP - Université Blaise Pascal (LASMEA)

Company profile - www.lasmea.fr


LASMEA GRAVIR (Laboratoire des Sciences et Matériaux pour l’Electronique et l’Automatique, Groupe Automatique Vision et Robotique) was involved the last three years in the CLIMATE AND ENVIRONMENT european project ASTHMA (for Advanced System of Teledetection for Healthcare Monitoring of Asthma) working on pollen grain recognition. In this project, GRAVIR was involved in the automation of pollen recognition in the field of instrumentation. Gravir has be responsible of the specification, development and validation of the hardware included in the semi-automatic system for pollen recognition.
The LASMEA (Laboratoire des Sciences et Matériaux pour l’ Electronique et d’Automatique) (Director Marc RICHETIN) includes two scientific teams:

Materials for Electronics – Electromagnetics (Groupe MATELEC).

Managers: François BARBARIN, Bernard GRUZZA and Jean CHANDEZON.

Staff: 36 researchers et 30 PhD students

Topics: Microelectronics and associated physical studies, Electromagnetism, Gas sensors, HgI2 detectors, Ionic conductors

Vision and Robotics (Groupe GRAVIR).

Managers: Jean Pierre DERUTIN, Michel DHOME and Philippe MARTINET.

Staff: 23 researchers et 20 PhD students

Topics: Intelligent sensors and data fusion, Active vision and visual servoing, Location, modelisation and reconstruction by artificial vision, Parallel computers, Pattern recognition.

Some Research Institutes:

Laboratoire Traitement du signal et Instrumentation (Université de Saint-Etienne), Institut Technologie de Stockholm, Université Nationale Autonome de Mexixo .

Aérospatial, Michelin, GIE PSA Peugot Citroën, Thomson, Daimler Benz.


Key persons


Pr. Pierre Bonton obtained his CNAM engineer degree in 1980 and his 3rd degree thesis in 1984. He is now professor at Université Blaise Pascal de Clermond-Ferrand. He is in charge of the Physic Department for UFR SEN (Formation and Research Unit of Natural and Exactly Sciences) . He is a Research Associate in LASMEA UMR 6602 of the CNRS in the "Groupe Automatique Vision et Robotique" (GRAVIR).

Pierre Bonton has supervised 14 PhD theses and is author or co-author of more than 50 scientific papers published in international journals or conferences.



Selected References


  • Pierre BONTON, Alain BOUCHER, Monique THONNAT, Regis TOMCZAK, Pablo J HIDALGO, Jordina BELMONTE and Carmen GALAN "Colour image in 2D and 3D microscopy for the automation of pollen rate measurement" Proc 8th ECS and Image Analysis, September 4-7, 2001 , Bordeaux, France, in Image Anal Stereol 2001; 20 (Suppl 1): 527-532

  • Alain BOUCHER, Pablo J HIDALGO, Monique THONNAT, Jordina BELMONTE, Carmen GALAN, Pierre BONTON, and Regis TOMCZAK "Development of a semi-automatic system for pollen recognition" Aerobiologia, International Journal of Aerobiology, Kluwer academic publishers, (to be published).

  • Régis TOMCZAK and Pierre BONTON, “Reconstruction 3D et reconnaissance des formes appliquées à l'identification des polllens”, rapport ADEME (Agence de l'Environnement et de la Maîtrise de l'énergie) 1998.

  • Régis TOMCZAK, Pierre BONTON, Cécile AUROYERr, Denis CAILLAUD and Catherine ROUQUET, “Traitement d'images et reconnaissance des formes appliquées à la mesure des taux de pollens dans l'air”, Journées Automatique agriculture et agro-alimentaire, Clermont Ferrand, France, Octobre 1997.

  • Cathrine ROUQUET and Pierre BONTON, “Region-based segmentation of textured images”, 1995, 8th international conference on image analysis and processing, San Remo (Italy), pp 11-16.

  • Pierre BONTON, Lackdar GROUCHE, Paul MALLET, and Aimé GENEIX, “ Image treatment for chromosome analysis”, 1987, Symposium on medical imaging research, Paris.



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