Human-Centered Visualization Environments GI-Dagstuhl Research Semin
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Andreas Kerren Achim Ebert Jörg Meyer (Eds.)
Human-Centered Visualization Environments GI-Dagstuhl Research Seminar Dagstuhl Castle, Germany, March 5-8, 2006 Revised Lectures
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Volume Editors Andreas Kerren Växjö University School of Mathematics and Systems Engineering Computer Science Department Vejdes Plats 7, 351 95 Växjö, Sweden E-mail: [email protected] Achim Ebert University of Kaiserslautern Computer Science Department P.O. Box 3049, 67653 Kaiserslautern, Germany E-mail: [email protected] Jörg Meyer University of California Irvine Department of Electrical Engineering and Computer Science Department of Biomediacal Engineering The Henry Samueli School of Engineering 644 E Engineering Tower, Irvine, CA 92697-2625, USA E-mail: [email protected]
Library of Congress Control Number: 2007931237 CR Subject Classification (1998): I.4, I.2.10, I.5, I.3, H.5, J.3 LNCS Sublibrary: SL 6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics ISSN ISBN-10 ISBN-13
0302-9743 3-540-71948-2 Springer Berlin Heidelberg New York 978-3-540-71948-9 Springer Berlin Heidelberg New York
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Preface
Human-Centered Visualization Environments combine traditional Visualization techniques with the ability of the human visual-brain system and the hapticmotoric system to explore and analyze complex data comprehensively. This kind of visualization merges s
