Computer Vision Systems

Computer Vision Systems

1st Edition - January 1, 1978

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  • Editor: Allen Hanson
  • eBook ISBN: 9780323151207

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Computer Vision Systems is a collection of papers presented at the Workshop on Computer Vision Systems held at the University of Massachusetts in Amherst, Massachusetts, on June 1-3, 1977. Contributors discuss the breadth of problems that must be taken into account in the development of general computer vision systems. Topics covered include the application of system engineering techniques to the design of artificial intelligence systems; representation and segmentation of natural scenes; and pragmatic aspects of machine vision. Psychophysical measures of representation and interpretation are also considered. This monograph is divided into four sections: Issues and Research Strategies, Segmentation, Theory and Psychology, and Systems. The first chapter explores the problem of recovering the intrinsic characteristics of scenes from images, along with its implications for machine and human vision. The discussion then turns to special-purpose low-level vision systems that can be flexibly reconfigured as the need arises; design, development, and implementation of large systems from the human engineering point of view; and representation of visual information. The next section examines hierarchical relaxation for waveform parsing; the topology and semantics of intensity arrays; and visual images as spatial representations in active memory. The use of edge cues to recognize real-world objects is also analyzed. This text will be a useful resource for systems designers, computer engineers, and scientists as well as psychologists.

Table of Contents

  • List of Contributors




    Issues and Research Strategies

    Recovering Intrinsic Scene Characteristics from Images

    The Necessity for a Theory of Specialized Vision

    System Engineering Techniques for Artificial Intelligence Systems

    On the Representation of Natural Scenes

    Vision Research Strategy: Black Magic, Metaphors, Mechanisms, Miniworlds, and Maps

    Representing Visual Information

    Characterization and Requirements of Computer Vision Systems

    Pragmatic Aspects of Machine Vision


    Hierarchical Relaxation for Waveform Parsing

    Topology and Semantics of Intensity Arrays

    Segmentation of Natural Scenes

    Regular Hierarchical Image and Processing Structures in Machine Vision

    A Parallel Model for Low-Level Vision

    Vertical and Horizontal Processes in Low Level Vision

    Theory and Psychology

    Scene Analysis, Arrangements, and Homomorphisms

    Surface Curvature and Applications of the Dual Representation

    Visual Images as Spatial Representations in Active Memory

    Computing the Next Step: Psychophysical Measures of Representation and Interpretation


    A Partially Ordered World Model and Natural Outdoor Scenes

    An Approach to Knowledge-Directed Image Analysis

    Reading the Writing on the Wall

    Visions: A Computer System for Interpreting Scenes

    A Knowledge-Based Computer Vision System

    Recognition of Real-World Objects Using Edge Cues

    "Recognition Cones," and Some Test Results; The Imminent Arrival of Well-Structured Parallel-Serial Computers; Positions, and Positions on Positions

    Theory Formation and Control in a Speech Understanding System with Extrapolations toward Vision

Product details

  • No. of pages: 418
  • Language: English
  • Copyright: © Academic Press 1978
  • Published: January 1, 1978
  • Imprint: Academic Press
  • eBook ISBN: 9780323151207

About the Editor

Allen Hanson

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