Perceptual Organization for Artificial Vision Systems

  • Kim L. Boyer
  • Sudeep Sarkar

Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 546)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Introduction

  3. Focused Deliberations

    1. Front Matter
      Pages 15-15
    2. David Jacobs, Jitendra Malik, Ram Nevatia
      Pages 17-28
    3. Eric Saund, Jonas August, Joachim Buhmann, Daniel Crevier, Greet Frederix, Danny Roobaert
      Pages 29-32
    4. Kim L. Boyer, Daniel Fagerström, Michael Kubovy, Peter Johansen, Sudeep Sarkar
      Pages 33-38
  4. Discourses in Human and Machine Vision

    1. Front Matter
      Pages 39-39
    2. Michael Kubovy, Sergei Gepshtein
      Pages 41-71
    3. Zili Liu, David W. Jacobs, Ronen Basri
      Pages 73-90
    4. Jitendra Malik, Serge Belongie, Thomas Leung, Jianbo Shi
      Pages 139-172
    5. Chi-Keung Tang, Mi-Suen Lee, Gérard Medioni
      Pages 215-237
    6. Michael Lindenbaum, Alexander Berengolts
      Pages 239-248
    7. K. K. Thornber, L. R. Williams
      Pages 249-263
    8. Benjamin B. Kimia, Ilana Frankel, Ana-Maria Popescu
      Pages 289-309

About this book

Introduction

Perceptual Organization for Artificial Vision Systems is an edited collection of invited contributions based on papers presented at The Workshop on Perceptual Organization in Computer Vision, held in Corfu, Greece, in September 1999. The theme of the workshop was `Assessing the State of the Community and Charting New Research Directions.'
Perceptual organization can be defined as the ability to impose structural regularity on sensory data, so as to group sensory primitives arising from a common underlying cause. This book explores new models, theories, and algorithms for perceptual organization.
Perceptual Organization for Artificial Vision Systems includes contributions by the world's leading researchers in the field. It explores new models, theories, and algorithms for perceptual organization, as well as demonstrates the means for bringing research results and theoretical principles to fruition in the construction of computer vision systems. The focus of this collection is on the design of artificial vision systems. The chapters comprise contributions from researchers in both computer vision and human vision.

Keywords

Image segmentation Textur algorithms computer vision machine vision

Editors and affiliations

  • Kim L. Boyer
    • 1
  • Sudeep Sarkar
    • 2
  1. 1.The Ohio State UniversityColumbusUSA
  2. 2.University of South FloridaTampaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-4413-5
  • Copyright Information Kluwer Academic Publishers 2000
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-6986-8
  • Online ISBN 978-1-4615-4413-5
  • Series Print ISSN 0893-3405
  • About this book