Perceptual Organization and Visual Recognition

  • David G. Lowe

Table of contents

  1. Front Matter
    Pages i-xi
  2. David G. Lowe
    Pages 1-20
  3. David G. Lowe
    Pages 51-72
  4. David G. Lowe
    Pages 73-91
  5. David G. Lowe
    Pages 92-109
  6. David G. Lowe
    Pages 110-132
  7. David G. Lowe
    Pages 133-148
  8. David G. Lowe
    Pages 149-153
  9. Back Matter
    Pages 154-162

About this book

Introduction

COMPUTER VISION is a field of research that encompasses many objectives. A primary goal has been to construct visual sensors that can provide general-purpose robots with the same information about their surroundings as we receive from our own visual senses. This book takes an important step towards this goal by describing a working computer vision system named SCERPO. This system can recognize known three-dimensional objects in ordinary black-and-white images taken from unknown viewpoints, even when parts of the object are undetectable or hidden from view. A second major goal of computer vision re­ search is to provide a computational understanding of human vision. The research presented in this book has many implica­ tions for our understanding of human vision, particularly in the areas of perceptual organization and knowledge-based recogni­ tion. An attempt has been made to relate each computational result to the relevant areas in the psychology of vision. Since the material is meant to be accessible to a wide range of inter­ disciplinary readers, the book is written in plain language and attempts to explain most concepts from the starting position of the non-specialist. vii viii PREFACE One of the most important conclusions ansmg from this research is that visual recognition can commonly be achieved directly from the two-dimensional image without any prelim­ inary reconstruction of depth information or surface orienta­ tion from the visual input.

Keywords

3D Extension Textur algorithms cognition complexity computer vision knowledge performance robot verification

Authors and affiliations

  • David G. Lowe
    • 1
  1. 1.Courant Institute of Mathematical SciencesNew York UniversityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-2551-2
  • Copyright Information Springer-Verlag US 1985
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-9604-1
  • Online ISBN 978-1-4613-2551-2
  • Series Print ISSN 0893-3405
  • About this book