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Computer Vision: Theory and Industrial Applications

  • Carme Torras

Table of contents

  1. Front Matter
    Pages i-vii
  2. Acquisition and 2D Processing

    1. Josep Amat, Alícia Casals
      Pages 1-58
    2. Carme Torras
      Pages 59-95
  3. Obtaining 3D Information

    1. Vicenç Llario, Antonio Benito Martínez
      Pages 97-134
    2. P. Anandan
      Pages 135-183
    3. A. L. Yuille
      Pages 185-214
  4. Representation and Interpretation

    1. Juan A. Juan
      Pages 267-292
    2. Edward M. Riseman, Allen R. Hanson
      Pages 293-336
  5. Industrial Applications and Future Trends

    1. Robert B. Kelley
      Pages 337-375
    2. Roland T. Chin
      Pages 377-404
    3. B. G. Batchelor, D. W. Braggins
      Pages 405-452
  6. Back Matter
    Pages 453-455

About this book

Introduction

This book is the fruit of a very long and elaborate process. It was conceived as a comprehensive solution to several deficiencies encountered while trying to teach the essentials of Computer Vision in different contexts: to technicians from industry looking for technological solutions to some of their problems, to students in search of a good subject for a PhD thesis, and to researchers in other fields who believe that Computer Vision techniques may help them to analyse their results. The book was carefully planned with all these people in mind. Thus, it covers the fundamentals of both 2D and 3D Computer Vision and their most widespread industrial applications, such as automated inspection, robot guidance and workpiece acquisition. The level of explanation is that of an expanded introductory text, in the sense that, besides the basic material, some special advanced topics are included in each chapter, together with an extensive bibliography for experts to follow up. Well-known researchers on each of the topics were appointed to write a chapter following several guidelines to ensure a consistent presentation throughout. I would like to thank the authors for their patience, because some of them had to go through several revisions of their chapters in order to avoid repetition and to improve the homogeneity and coherence of the book. I hope they will find that the final result has been worth their efforts.

Keywords

3D Bildverarbeitung Computervision Image Understanding Maschinenvision artificial intelligence computer vision image processing intelligence künstliche Intelligenz machine vision robot robot vision

Editors and affiliations

  • Carme Torras
    • 1
  1. 1.Institut de Cibernètica, Consejo Superior de Investigaciones CientificasUniversitat Poltècnica de CatalunyaBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-48675-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 1992
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-48677-7
  • Online ISBN 978-3-642-48675-3
  • Buy this book on publisher's site