Scale Space and Variational Methods in Computer Vision Third Interna
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2011, held in Ein-Gedi, Israel in May/June 2011. The 24 revised full pa
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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 TU Dortmund University, Germany Madhu Sudan Microsoft Research, Cambridge, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbruecken, Germany
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Alfred M. Bruckstein Bart M. ter Haar Romeny Alexander M. Bronstein Michael M. Bronstein (Eds.)
Scale Space andVariational Methods in Computer Vision Third International Conference, SSVM 2011 Ein-Gedi, Israel, May 29 – June 2, 2011 Revised Selected Papers
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Volume Editors Alfred M. Bruckstein Technion – Israel Institute of Technology, Computer Science Department 718 Taub Building Technion, Haifa 32000, Israel E-mail: [email protected] Bart M. ter Haar Romeny Eindhoven University of Technology, Department of Biomedical Engineering Biomedical Image Analysis and Interpretation Den Dolech 2 – WH 2.101, 5600 MB Eindhoven, The Netherlands E-mail: [email protected] Alexander M. Bronstein Tel Aviv University, Faculty of Engineering, School of Electrical Engineering Ramat Aviv 69978, Israel E-mail: [email protected] Michael M. Bronstein Università della Svizzera Italiana Institute of Computational Science, Faculty of Informatics SI-109 Via Giuseppe Buffi 13, 6904 Lugano, Switzerland E-mail: [email protected]
ISSN 0302-9743 e-ISSN 1611-3349 ISBN 978-3-642-24784-2 e-ISBN 978-3-642-24785-9 DOI 10.1007/978-3-642-24785-9 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2011939303 CR Subject Classification (1998): I.4, I.5, I.3.5, I.2.10, G.1.2, F.2.2 LNCS Sublibrary: SL 6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics © Springer-Verlag Berlin Heidelberg 2012 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. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the rel
