Transformation Polytopes for Line Correspondences in Digital Images
We present an uncertainty model for geometric transformations, based on polygonal uncertainty regions and transformation polytopes. The main contribution of this paper is a systematic approach for the computation of regions of interest for features by usi
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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 Alfred Kobsa University of California, Irvine, CA, 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 Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Valentin E. Brimkov Reneta P. Barneva Herbert A. Hauptman (Eds.)
Combinatorial Image Analysis 12th International Workshop, IWCIA 2008 Buffalo, NY, USA, April 7-9, 2008 Proceedings
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Volume Editors Valentin E. Brimkov SUNY Buffalo State College, Mathematics Department 1300 Elmwood Ave., Buffalo, NY 14222, USA E-mail: [email protected] Reneta P. Barneva SUNY Fredonia, Department of Computer Science Fredonia, NY 14063, USA E-mail: [email protected] Herbert A. Hauptman Hauptman-Woodward Medical Research Institute 700 Ellicott Street, Buffalo, NY 14203-1102, USA E-mail: [email protected]
Library of Congress Control Number: 2008921859 CR Subject Classification (1998): I.4, I.5, I.3.5, F.2.2, G.2.1, G.1.6 LNCS Sublibrary: SL 6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics ISSN ISBN-10 ISBN-13
0302-9743 3-540-78274-5 Springer Berlin Heidelberg New York 978-3-540-78274-2 Springer Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2008 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12230853 06/3180 543210
Preface
It is indeed a great pleasure to welcome you to the proceedings of the 12th International Workshop on Combinatorial Image Analysis (IWCIA 2008) held in Buffalo, NY, April 7–9, 2008. Image analysis is a scientific discipline providing theoretical foundations and methods for solving problems that appear in various areas of human practice, as diverse as medicine, robotics,
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