Natural Object Recognition

  • Thomas M. Strat

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

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Thomas M. Strat
    Pages 1-11
  3. Thomas M. Strat
    Pages 13-42
  4. Thomas M. Strat
    Pages 43-56
  5. Thomas M. Strat
    Pages 57-113
  6. Thomas M. Strat
    Pages 115-138
  7. Thomas M. Strat
    Pages 139-148
  8. Back Matter
    Pages 149-173

About this book

Introduction

Natural Object Recognition presents a totally new approach to the automation of scene understanding. Rather than attempting to construct highly specialized algorithms for recognizing physical objects, as is customary in modern computer vision research, the application and subsequent evaluation of large numbers of relatively straightforward image processing routines is used to recognize natural features such as trees, bushes, and rocks. The use of contextual information is the key to simplifying the problem to the extent that well understood algorithms give reliable results in ground-level, outdoor scenes.

Keywords

algorithms cognition computer vision image processing object recognition

Authors and affiliations

  • Thomas M. Strat
    • 1
  1. 1.Artificial Intelligence CenterSRI InternationalMenlo ParkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-2932-2
  • Copyright Information Springer-Verlag New York 1992
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7725-5
  • Online ISBN 978-1-4612-2932-2
  • Series Print ISSN 1431-858X
  • About this book