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Surfaces in Range Image Understanding

  • Paul J. Besl

Part of the Springer Series in Perception Engineering book series (SSPERCEPTION)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Paul J. Besl
    Pages 1-33
  3. Paul J. Besl
    Pages 34-62
  4. Paul J. Besl
    Pages 63-115
  5. Paul J. Besl
    Pages 116-175
  6. Paul J. Besl
    Pages 176-189
  7. Paul J. Besl
    Pages 190-209
  8. Paul J. Besl
    Pages 210-287
  9. Paul J. Besl
    Pages 289-297
  10. Back Matter
    Pages 298-340

About this book

Introduction

Machine perception requires the digitization of physically-sensed signals. During the last ten years, digital range images have become available from a variety of sensors. This book is devoted to the problem of range image understanding with computers. Its aims are to develop a theoretical framework, devise appropriate algorithms, and demonstrate a software implementation of those algorithms that will confirm the usefulness of surfaces in range image understanding. It will be of interest to the researcher studying the theoretical concepts of image understanding, as well as the engineer who wants to implement these concepts in practical applications.

Keywords

Region Growing algorithms differential geometry image analysis object recognition perception

Authors and affiliations

  • Paul J. Besl
    • 1
  1. 1.Staff Research Scientist Computer Science DepartmentGeneral Motors Research LaboratoriesWarrenUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-3906-2
  • Copyright Information Springer-Verlag New York 1988
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-8396-6
  • Online ISBN 978-1-4612-3906-2
  • Series Print ISSN 1431-858X
  • Buy this book on publisher's site