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Perceptual Organization and Visual Recognition

  • Book
  • © 1985

Overview

Authors:
  1. David G. Lowe

    1. Courant Institute of Mathematical Sciences, New York University, USA

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Introduction

    • David G. Lowe
    Pages 1-20

  3. Previous Research on Perceptual Organization

    • David G. Lowe
    Pages 21-30

  4. Measuring the Significance of Image Relations

    • David G. Lowe
    Pages 31-50

  5. The Segmentation of Image Curves

    • David G. Lowe
    Pages 51-72

  6. The Use of Viewpoint Invariance

    • David G. Lowe
    Pages 73-91

  7. Model-Based Search and Inference

    • David G. Lowe
    Pages 92-109

  8. The Verification of Image Interpretations

    • David G. Lowe
    Pages 110-132

  9. The SCERPO Vision System

    • David G. Lowe
    Pages 133-148

  10. Conclusions

    • David G. Lowe
    Pages 149-153

  11. Back Matter

    Pages 154-162
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Keywords

About this book

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.

Authors and Affiliations

  • Courant Institute of Mathematical Sciences, New York University, USA

    David G. Lowe

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