Efficient Visual Recognition Using the Hausdorff Distance

  • Editors
  • William Rucklidge
Book

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1173)

Table of contents

  1. Front Matter
  2. Pages 1-26
  3. Pages 43-62
  4. Pages 63-76
  5. Pages 77-100
  6. Pages 132-156
  7. Pages 157-162
  8. Back Matter

About this book

Introduction

This book presents the theoretical aspects and practical development of a computer vision system for searching an image for a specified model object; this system is reliable, tolerates imperfections in the image and model, and is fast enough for real-world applications.
A number of search techniques are evaluated. The capabilities of the author's image search system are demonstrated on a variety of examples, and applications using it to track moving objects and navigate mobile robots are shown. This book is essential reading for anybody interested in model-based object recognition.

Keywords

Algorithmische Geometrie Effiziente Suche Modellbasierte Erkennung Objekterkennung cognition computational geometry computer vision efficient search mobile robot model-based recognition object recognition robot

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0015091
  • Copyright Information Springer-Verlag 1996
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-61993-2
  • Online ISBN 978-3-540-49587-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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