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Table of contents

  1. Front Matter
    Pages i-xxi
  2. Introduction

    1. Minsoo Suk, Suchendra M. Bhandarkar
      Pages 1-13
  3. Fundamentals of Range Image Processing and Three-Dimensional Object Recognition

    1. Front Matter
      Pages 15-15
    2. Minsoo Suk, Suchendra M. Bhandarkar
      Pages 17-37
    3. Minsoo Suk, Suchendra M. Bhandarkar
      Pages 39-75
    4. Minsoo Suk, Suchendra M. Bhandarkar
      Pages 77-101
    5. Minsoo Suk, Suchendra M. Bhandarkar
      Pages 103-142
  4. Three-Dimensional Object Recognition Using Qualitative Features

    1. Front Matter
      Pages 143-143
    2. Minsoo Suk, Suchendra M. Bhandarkar
      Pages 145-181
    3. Minsoo Suk, Suchendra M. Bhandarkar
      Pages 183-220
  5. Sensitivity Analysis and Parallel Implementation

    1. Front Matter
      Pages 221-221
    2. Minsoo Suk, Suchendra M. Bhandarkar
      Pages 223-255
    3. Minsoo Suk, Suchendra M. Bhandarkar
      Pages 257-277
  6. Back Matter
    Pages 279-308

About this book

Introduction

Computer Science Workbench is a monograph series which will provide you with an in-depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Workbench represents an important new contribution in the field of practical computer technology. T08iyasu L. Kunii PREFACE The primary aim of this book is to present a coherent and self-contained de­ scription of recent advances in three-dimensional object recognition from range images. Three-dimensional object recognition concerns recognition and localiza­ tion of objects of interest in a scene from input images. This problem is one of both theoretical and practical importance. On the theoretical side, it is an ideal vehicle for the study of the general area of computer vision since it deals with several important issues encountered in computer vision-for example, issues such as feature extraction, acquisition, representation and proper use of knowl­ edge, employment of efficient control strategies, coupling numerical and symbolic computations, and parallel implementation of algorithms. On the practical side, it has a wide range of applications in areas such as robot vision, autonomous navigation, automated inspection of industrial parts, and automated assembly.

Keywords

Image segmentation Qualitative Features Range Image Understanding Three-Dimensional Recognition complexity computer computer vision development object recognition

Authors and affiliations

  • Minsoo Suk
    • 1
  • Suchendra M. Bhandarkar
    • 2
  1. 1.Department of Electrical and Computer EngineeringSyracuse UniversitySyracuseUSA
  2. 2.Department of Computer ScienceUniversity of GeorgiaAthensUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-4-431-68213-4
  • Copyright Information Springer-Verlag Tokyo 1992
  • Publisher Name Springer, Tokyo
  • eBook Packages Springer Book Archive
  • Print ISBN 978-4-431-68215-8
  • Online ISBN 978-4-431-68213-4
  • Series Print ISSN 1431-1488
  • Buy this book on publisher's site
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