Table of contents

  1. Front Matter
  2. Pages 1-3
  3. Pages 5-37
  4. Pages 85-127
  5. Back Matter

About this book

Introduction

In this volume the author gives an introduction to the theory of group representations and their applications in image science. The main feature of the presentation is a systematic treatment of the invariance principle in image processing and pattern recognition with the help of group theoretical methods. The invariance properties of a problem often largely define the solution to the problem. Invariance principles are well known in theoretical physics but their use in image processing is only a few years old. The reader will find that group theory provides a unifying framework for many problems in image science. The volume is based on graduate-level lectures given by the author, and the book is intended for students and researchers interested in theoretical aspects of computer vision.

Keywords

Bildverarbeitung Darstellungstheorieresentation Gruppentheorie Maschinelles Sehen image processing pattern recognition

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-52290-5
  • Copyright Information Springer-Verlag 1990
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-52290-4
  • Online ISBN 978-3-540-46947-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book