Calibration and Orientation of Cameras in Computer Vision

  • Armin Gruen
  • Thomas S. Huang

Part of the Springer Series in Information Sciences book series (SSINF, volume 34)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Armin Gruen
    Pages 1-5
  3. Bernhard P. Wrobel
    Pages 7-62
  4. Reg G. Willson, Steven A. Shafer
    Pages 137-161
  5. Armin Gruen, Horst A. Beyer
    Pages 163-193
  6. Back Matter
    Pages 231-236

About this book

Introduction

This book brings together concepts and approaches from the fields of photogrammetry and computer vision. In particular, it examines techniques relating to quantitative image analysis, such as orientation, camera modelling, system calibration, self-calibration and error handling. The chapters have been contributed by experts in the relevant fields, and there are examples from automated inspection systems and other real-world cases. The book provides study material for students, researchers, developers and practitioners.

Keywords

Stereo calibration computer vision image analysis modeling

Editors and affiliations

  • Armin Gruen
    • 1
  • Thomas S. Huang
    • 2
  1. 1.Institut für Geodäsie und PhotogrammetrieETH-HönggerbergZürichSwitzerland
  2. 2.2039 Beckman InstituteUniversity of IllinoisUrbanaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-04567-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2001
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-08463-8
  • Online ISBN 978-3-662-04567-1
  • Series Print ISSN 0720-678X
  • About this book