The 7th International Conference on


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Keynote Speakers

Zoltan Kato
Department of Image Processing and Computer Graphics, University of Szeged, Hungary

Topic: Linear and nonlinear shape alignment without correspondences

We consider the estimation of diffeomorphic transformations aligning a known shape and its distorted observation. The classical way to solve this registration problem is to find correspondences between the shapes and then compute the transformation parameters from these landmarks. Here we propose a novel framework where the exact transformation is obtained as the solution of a polynomial system of equations. The method has been applied to 2D and 3D medical image registration, industrial inspection, planar homography estimation, etc... and its robustness has also been demonstrated. The advantage of the proposed solution is that it is fast, easy to implement, has linear time complexity, works without established correspondences and provides an exact solution regardless of the magnitude of transformation.

He received the BS and MS degrees in computer science from the Jozsef Attila University, Szeged, Hungary in 1988 and 1990, and the PhD degree from University of Nice doing his research at INRIA -- Sophia Antipolis, France in 1994. Since then, he has been a visiting research associate at the Computer Science Department of the Hong Kong University of Science and Technology; an ERCIM postdoc fellow at CWI, Amsterdam; and a visiting fellow at the School of Computing, National University of Singapore. In 2002, he joined the Institute of Informatics, University of Szeged,> Hungary, where he is heading the Department of Image Processing and Computer Graphics. His research interests include image segmentation, statistical image models, Markov random fields, color, texture, motion, shape modeling, variational and level set methods. He is the president of the Hungarian Association for Image Processing and Pattern Recognition (KEPAF) and a Senior Member of IEEE.


William I. Grosky
Department of Computer and Information Science at the University of Michigan-Dearborn


William I. Grosky is currently professor and chair of the Department of Computer and Information Science at the University of Michigan-Dearborn. Before joining UMD in 2001, he was professor and chair of the Department of Computer Science at Wayne State University, as well as an assistant professor of Information and Computer Science at the Georgia Institute of Technology in Atlanta. His current research interests are in multimedia information systems, text and image mining, and the semantic web. He is a founding member of Intelligent Media LLC, a Michigan-based company whose interests are in integrating the new media into information technologies.

Grosky received his B.S. in mathematics from MIT in 1965, his M.S. in applied mathematics from Brown University in 1968, and his Ph.D. from Yale University in 1971. He has given many short courses in the area of database management for local industries and has been invited to lecture on multimedia information systems world-wide. Serving also on many database and multimedia conference program committees, he was an Editor-in-Chief of IEEE Multimedia, and is currently on the editorial boards of many journals in the field.