Hill Climbing Algorithm for Random Sample Consensus Methods

We propose a modification of RANSAC that performs guided search of the sample space. The sampling is applicable to any of the sample consensus methods, such as MAPSAC or MLESAC. We give simulation results which show that the new method can reduce the numb

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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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George Bebis Richard Boyle Bahram Parvin Darko Koracin Nikos Paragios Syeda-Mahmood Tanveer Tao Ju Zicheng Liu Sabine Coquillart Carolina Cruz-Neira Torsten Müller Tom Malzbender (Eds.)

Advances in Visual Computing Third International Symposium, ISVC 2007 Lake Tahoe, NV, USA, November 26-28, 2007 Proceedings, Part I

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Volume Editors George Bebis, E-mail: [email protected] Richard Boyle, E-mail: [email protected] Bahram Parvin, E-mail: [email protected] Darko Koracin, E-mail: [email protected] Nikos Paragios, E-mail: [email protected] Syeda-Mahmood Tanveer, E-mail: [email protected] Tao Ju, E-mail: [email protected] Zicheng Liu, E-mail: [email protected] Sabine Coquillart, E-mail: [email protected] Carolina Cruz-Neira, E-mail: [email protected] Torsten Müller, E-mail: [email protected] Tom Malzbender, E-mail: [email protected]

Library of Congress Control Number: 2007939401 CR Subject Classification (1998): I.4, I.5, I.2.10, I.3.3, I.3.5, I.3.7, I.2.6, F.2.2 LNCS Sublibrary: SL 6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics ISSN ISBN-10 ISBN-13

0302-9743 3-540-76857-2 Springer Berlin Heidelberg New York 978-3-540-76857-9 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 2007 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12192953 06/3180 543210

Preface

It is with great pleasure that we welcome you to the Proceedings of the 3rd International Symposium on Visual