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Real-Time Object Measurement and Classification

  • Anil K. Jain

Part of the NATO ASI Series book series (volume 42)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Frans C. A. Groen, Pieter P. Jonker, Robert P. W. Duin
    Pages 73-91
  3. B. Zavidovique, A. F. Lanusse, P. Garda
    Pages 93-109
  4. J. Illingworth, J. Kittler, J. Princen
    Pages 119-142
  5. Erdal Panayirci, Yağmur Denizhan
    Pages 143-159
  6. Matti Pietikäinen, Olli Silvén
    Pages 161-169
  7. George Stockman
    Pages 171-184
  8. A. Distante, N. Ancona, R. Mugnuolo, L. Caponetti
    Pages 227-249
  9. Ramesh Jain, Thawach Sripradisvarakul, Nancy O’Brien
    Pages 251-265
  10. A. Steiger-Garção, J. Santos-Afonso, Carlos Queirós
    Pages 281-292
  11. T. J. Fountain
    Pages 309-330
  12. V. Cantoni, L. Carrioli, M. Ferretti, L. Lombardi, K. Matthews
    Pages 359-374
  13. Thomas C. Henderson, Chuck Hansen
    Pages 375-390
  14. Back Matter
    Pages 405-410

About these proceedings

Introduction

This book contains papers presented at the NATO Advanced Research Workshop on "Real-time Object and Environment Measurement and Classification" held in Hotel Villa del Mare, Maratea, Italy, August 31 - September 3, 1987. This workshop was organized under the NATO Special Programme on Sensory Systems for Robotic Control. Professor Eric Backer, Delft University of Technology, The Netherlands and Professor Erdal Panayirci, Technical University of Istanbul, Turkey were the members of the organizing committee for this workshop. There were four major themes of this workshop: Real-time Requirements, Feature Measurement, Object Representation and Recognition, and Architecture for Measurement and Classification. A total of twenty-five technical presentations were made. These talks covered a wide spectrum of topics including hardware implementation of specific vision algorithms, a complete vision system for object tracking and inspection, using three cameras (trinocular stereo) for feature measurement, neural network for object recognition, integration of CAD (Computer-Aided Design) and vision systems, and the use of pyramid architectures for solving varioos computer vision problems.

Keywords

Hardware algorithms architecture classification cognition computer computer vision computer-aided design (CAD) control object recognition pattern recognition robot

Editors and affiliations

  • Anil K. Jain
    • 1
  1. 1.Department of Computer ScienceMichigan State UniversityEast LansingUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-83325-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 1988
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-83327-4
  • Online ISBN 978-3-642-83325-0
  • Buy this book on publisher's site