Graph-Based Representations in Pattern Recognition 6th IAPR-TC-15 In
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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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Francisco Escolano Mario Vento (Eds.)
Graph-Based Representations in Pattern Recognition 6th IAPR-TC-15 International Workshop, GbRPR 2007 Alicante, Spain, June 11-13, 2007 Proceedings
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Volume Editors Francisco Escolano DCCIA- Universidad de Alicante E-03080 Alicante, Spain E-mail: [email protected] Mario Vento DIIE - University of Salerno 1 FISICIANO, Italy E-mail: [email protected]
Library of Congress Control Number: 2007927650 CR Subject Classification (1998): I.5, I.4, I.3, I.2.10, G.2.2, F.2.2, E.1 LNCS Sublibrary: SL 6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics ISSN ISBN-10 ISBN-13
0302-9743 3-540-72902-X Springer Berlin Heidelberg New York 978-3-540-72902-0 Springer Berlin Heidelberg New York
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Preface
GbR (Graph-Based Representations in Pattern Recognition) is a biennial workshop organized by the TC15 (http://www.greyc.ensicaen.fr/iapr-tc15/) Technical Committee of the IAPR, aimed at encouraging research works in pattern recognition and image analysis within the graph theory framework. This workshop series traditionally provides a forum for presenting and discussing research results and applications at the intersection of pattern recognition, image analysis on one side and graph theory on the other side. Traditionally, the scientific content of these workshops covers research on problems such a
