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Geometry, Morphology, and Computational Imaging

11th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, April 7-12, 2002, Revised Papers

  • Conference proceedings
  • © 2003

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2616)

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Table of contents (27 papers)

Keywords

About this book

This book constitutes the thoroughly refereed post-proceedings of the 11th International Workshop on Theoretical Foundations of Computer Vision, held in Dagstuhl Castle, Germany in April 2002.

The 27 revised full papers presented went through two rounds of reviewing and improvement and assess the state of the art in geometry, morphology, and computational imaging. The papers are organized  in sections on geometry - models and algorithms; property measurement in the grid and on finite samples; features, shape, and morphology; and computer vision and scene analysis.

Editors and Affiliations

  • JAIST, School of Information Science, Ishikawa, Japan

    Tetsuo Asano

  • Computer Science Dept. and CITR, University of Auckland, Auckland, New Zealand

    Reinhard Klette

  • LSIIT UMR 7005 CNRS-ULP, Illkirch, France

    Chrisitan Ronse

Bibliographic Information

  • Book Title: Geometry, Morphology, and Computational Imaging

  • Book Subtitle: 11th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, April 7-12, 2002, Revised Papers

  • Editors: Tetsuo Asano, Reinhard Klette, Chrisitan Ronse

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-36586-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2003

  • Softcover ISBN: 978-3-540-00916-0Published: 08 April 2003

  • eBook ISBN: 978-3-540-36586-0Published: 02 August 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 446

  • Topics: Image Processing and Computer Vision, Computer Graphics

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