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Multi-Image Analysis

10th International Workshop on Theoretical Foundations of Computer Vision Dagstuhl Castle, Germany, March 12-17, 2000 Revised Papers

  • Conference proceedings
  • © 2001

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2032)

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Table of contents (20 papers)

  1. 3D Data Acquisition and Sensor Design

  2. Multi-Image Analysis

  3. Data Fusion in 3D Scene Description

  4. Applied 3D Vision and Virtual Reality

Keywords

About this book

This book constitutes the thoroughly refereed post-proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision, held at Dagstuhl Castle, Germany, in March 2000.
The 20 revised full papers presented have been through two rounds of reviewing, selection, and revision and give a representative assessment of the foundational issues in multiple-image processing. The papers are organized in topical sections on 3D data acquisition and sensor design, multi-image analysis, data fusion in 3D scene description, and applied 3D vision and virtual reality.

Editors and Affiliations

  • Center for image Technology and Robotics (CITR Tamaki), Auckland, New Zealand

    Reinhard Klette, Georgy Gimel’farb

  • 2039 Beckman Institute, University of Illinois, Urbana, USA

    Thomas Huang

Bibliographic Information

  • Book Title: Multi-Image Analysis

  • Book Subtitle: 10th International Workshop on Theoretical Foundations of Computer Vision Dagstuhl Castle, Germany, March 12-17, 2000 Revised Papers

  • Editors: Reinhard Klette, Georgy Gimel’farb, Thomas Huang

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-45134-X

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2001

  • Softcover ISBN: 978-3-540-42122-1Published: 02 May 2001

  • eBook ISBN: 978-3-540-45134-1Published: 29 June 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: VIII, 296

  • Topics: Image Processing and Computer Vision, Pattern Recognition, Computer Graphics, Artificial Intelligence

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