Real-Time Object Measurement and Classification

1. Front Matter

   Pages I-VIII

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2. Two Real-Time Architectures for Image Processing and Computer Vision

   • Jorge L. C. Sanz

   Pages 1-23

3. A Flexible and Intelligent System for Fast Measurements in Binary Images For in-Line Robotic Control

   • E. Backer, J. J. Gerbrands

   Pages 25-40

4. Object Recognition and Real-Time Relative State Estimation Under Egomotion

   • Ernst Dieter Dickmanns

   Pages 41-56

5. Hardware-Software Trade-Offs in Robot Vision

   • Vicenç Llario

   Pages 57-71

6. Hardware Versus Software Implementations of Fast Image Processing Algorithms

   • Frans C. A. Groen, Pieter P. Jonker, Robert P. W. Duin

   Pages 73-91

7. Robot Perception Systems: Some Design Issues

   • B. Zavidovique, A. F. Lanusse, P. Garda

   Pages 93-109

8. Two Parallel Algorithms for the Analysis of Random Images

   • V. Di Gesu, A. Machi

   Pages 111-117

9. Shape Detection Using the Adaptive Hough Transform

   • J. Illingworth, J. Kittler, J. Princen

   Pages 119-142

10. Shape Analysis Based on Boundary Curve Segmentation

    • Erdal Panayirci, Yağmur Denizhan

    Pages 143-159

11. Progress in Trinocular Stereo

    • Matti Pietikäinen, Olli Silvén

    Pages 161-169

12. Feature Extraction Using Structured Light

    • George Stockman

    Pages 171-184

13. A Clustering Approach to texture Classification

    • Vito Di Gesú

    Pages 185-195

14. Spatial feature measurements in parallell structures

    • Björn Kruse

    Pages 197-213

15. What an Autonomous Robot can Learn About its Environment Starting from Scratch Using Image Sequences

    • Georg Zimmermann, Ralf Kories

    Pages 215-226

16. Three-dimensional Object Recognition based on Multiview Representation and Extended Gaussian Image

    • A. Distante, N. Ancona, R. Mugnuolo, L. Caponetti

    Pages 227-249

17. Symbolic Surface Descriptors

    • Ramesh Jain, Thawach Sripradisvarakul, Nancy O’Brien

    Pages 251-265

18. A Novel Architecture for Real Time Pick Up of 3D Motion and 3D Layout Information from The Flow of The Optic Array

    • Thomas Tsao, Laveen Kanal

    Pages 267-280

19. Object Identification and Automatic Learning

    • A. Steiger-Garção, J. Santos-Afonso, Carlos Queirós

    Pages 281-292

20. Real-Time Restoration and Segmentation Algorithms for Hidden Markov Mesh Random Fields Image Models

    • Pierre A. Devijver, Michel M. Dekesel

    Pages 293-307

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.

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

• Department of Computer Science, Michigan State University, East Lansing, USA

  Anil K. Jain

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