Real Time Object Measurement and Classification. NATO ASI Series F: Computer and Systems Sciences, Volume 42

Jain, Anil K., ed.

ISBN 10: 0387187669 / ISBN 13: 9780387187662

Published by Springer, 1988

About this Item

*Price HAS BEEN REDUCED by 10% until Monday, Aug. 11 (weekend SALE item)* 407 pp., hardcover, ex library, else text and binding still clean tight and bright. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

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Bibliographic Details

• Title: Real Time Object Measurement and Classification. NATO ASI Series F: Computer and Systems Sciences, Volume 42
• Publisher: Springer
• Publication Date: 1988
• Language: English
• ISBN 10: 0387187669
• ISBN 13: 9780387187662
• Binding: Hardcover
• Condition: Good

About this title

Synopsis

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 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.