Information about the speaker
Jan Flusser
Jan Flusser
received the M.Sc. degree in mathematical engineering from the Czech Technical
University, Prague, Czech Republic in 1985 and the Ph.D. degree in computer
science from the Czechoslovak Academy of Sciences in 1990. Since 1985 he has
been with the Institute of Information Theory and Automation, Academy of
Sciences of the Czech Republic, Prague. Since 1995 he has been holding the
position of a head of Department of Image Processing. Since 1991 he has been
also affiliated with the Faculty of Mathematics and Physics, Charles University,
Prague and with the Czech Technical University, Prague (full professorship in 2004), where he gives
undergraduate and graduate courses on Digital Image Processing and Pattern
Recognition. Jointly with B. Zitova he gives specialized graduate course on
moment invariants and wavelets.
Jan Flusser has a 20-years experience
in basic and applied research on the field of invariant-based pattern
recognition. He has been involved in applications in remote sensing, medicine,
and astronomy. He has authored and coauthored more than 100 research
publications in these areas. About 70 his publications are relevant to the topic
of the proposed tutorial. Some of his
journal papers became classical and are frequently cited. For the list of
selected publications see below. Jan Flusser is a Senior Member of the IEEE.
Jan Flusser and Barbara Zitova are the co-authors of the tutorial "Image Registration: A Survey and Recent Advances", which was presented at the IEEE Int'l. Conf. Image Proc. ICIP'05, Genova, Italy, September 2005 and attracted considerable attention (the second largest audience among all ICIP'05 tutorials). Jan Flusser is an author/co-author of several invited and keynote talks at international conferences (Digital Image Computing DICTA'07, Computational Statistics COMPSTAT'06, Workshop of Information Optics WIO'06, NATO ASI Workshop on Imaging for detection and localization 06, Int'l. Conf. Computer Science ICCS'06, to name the most recent ones).
Barbara Zitova
Barbara Zitova received the M.Sc. degree in computer science from the Charles University, Prague, Czech Republic in 1995 and the Ph.D. degree in computer science from the Charles University, Prague, Czech Republic in 2000. Since 1995 she has been with the Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Prague. She also gives tutorials on Image Processing and Pattern Recognition at the Czech Technical University. Jointly with J. Flusser she gives specialized graduate course on moment invariants and wavelets.
Barbara Zitova has an 10-years experience in image
recognition. She is an author of a book chapter in Invariants for Pattern
Recognition and Classification (M.A. Rodrigues ed.,
World Scientific, 2000) and of 20 journal and conference papers on moment
invariants and related topics. Her paper "Image Registration Methods: A Survey", Image and Vision Computing, vol. 21, pp. 977-1000, 2003, has became a major reference in image registration.
Tomas Suk
Tomas Suk received the M.Sc. degree in
technical cybernetics from the Czech Technical University,
Prague, Czech Republic in 1987, the Ph.D. degree in computer science from
the Czechoslovak Academy of Sciences in 1991. Since 1987
he has been with the Institute of Information Theory and Automation, Academy of
Sciences of the Czech Republic, Prague. His current
research interests include all aspects of image recognition, namely invariant
features, moment and point-based invariants, geometric transformations,
applications in remote sensing, astronomy, medicine, and
computer vision. He has authored and coauthored more than 50 research
publications in these areas, some of which have got a
considerable citation response.