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Professor Jan Flusser, PhD, Dsc, is a director of the Institute of Information Theory and Automation of the ASCR, Prague, Czech Republic, and a full professor of Computer Science at the Czech Technical University, Prague, and at the Charles University , Prague. Jan Flusser’s research areas are moments and moment invariants, image regristration, image fusion, multichannel blind deconvolution and super-resolution imaging. He has authored and coauthored more than 150 research publications in these areas, including tutorials (ICIP’05, ICIP’07, EUSIPCO’07, CVPR’08, FUSION’08, SPPRA’09, SCIA’09) and invited/keynote talks (ICCS’06, COMPSTAT’06, WIO’06, DICTA’07, CGIM’08) at major international conferences. He gives undergraduate and graduate courses on digital image processing, pattern recognition, and moment invariants and wavelets. Personal webpage http://www.utia.cas.cz/people/flusser. Tomáš Suk, PhD, is a research fellow of the same Institute. His research interests include invariant features, moment and point-based invariants, color spaces and geometric transformations. He has authored and coauthored more than 50 research publications in these areas, some of which have elicited a considerable citation response. Tomás Suk coauthored tutorials on moment invariants held at international conference ICIP’07 and SPPR’09. Personal webpage http://zoi.utia.cas.cz/suk. Barbara Zitová, PhD, is Head of the Department of Image Processing at the same Institute. Her research interest is mainly in image regi8stration, invariants, wavelets, and image processing applications in cultural heritage. She has authored and coauthored more that 30 research publications in these areas, including tutorials at international conferences (ICIP’05, ICIP’07, EUSIPCO’07, FUSION’08 and CVPR’08). Her paper “Image Registration Methods: A Survey,” Image and Vision Computing, vol. 21, pp. 977-1000, 2003, has become a major reference work in image registration . She teaches a specialized graduate course on moment invariants and wavelets at the Czech Technical University. Personal webpage http://zoi.utia.cas.cz/zitova.
"""This text is a little gem in the vast amount of literature on pattern recognition...In conclusion, this is an excellent text on pattern recognition that I highly recommend to practitioners and students in signal and image processing."" (Computing Reviews, October 2010)"
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