Robust Vision For Vision-based Control Of Motion

ISBN 10: 0780353781 / ISBN 13: 9780780353787

Published by Wiley-IEEE Press, 2000

About this Item

This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Seller Inventory # ABBB-106969

Bibliographic Details

• Title: Robust Vision For Vision-based Control Of Motion
• Publisher: Wiley-IEEE Press
• Publication Date: 2000
• Language: English
• ISBN 10: 0780353781
• ISBN 13: 9780780353787
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Find the design principles you need to move vision-based control out of the lab and into the real world. In this edited collection of state-of-the-art papers, contributors highly regarded in robust vision bring you the latest applications in the field. Whatever your industry - from space ventures to mobile surveillance - you will discover throughout this comprehensive collection a strong emphasis on robust vision simply unmatched today. You will also gain an in-depth analysis of vision techniques used to control the motion of robots and machines.

Expert contributors offer you key insights into:

• Current control issues including hardware design, system architecture, sensor data fusion, and visual tracking
• Modeling methods for vision-based sensing
• Useful summaries of recent conclusions drawn from robust-vision workshops
• Future research needs

If you want to learn today's approaches to robust vision-based control of motion, this extensive collection is a must. Learn from the experts and, in the process, speed your project development and broaden your technical expertise for future collaborative efforts in your industry.

About the Author

Markus Vincze is head of a research group at the Vienna University of Technology, Austria, and leads European research projects. Project RobVision uses vision to navigate a walking robot through the sections of a large container vessel for welding and inspection tasks. His research interests are in the areas of service robotics, robust and reliable visual sensing, and control.

Gregory D. Hager is a professor of computer science at Johns Hopkins University. He currently serves as cochairman of the Robotics and Automation Society Technical Committee on Computer and Robot Vision. Dr. Hager is the author of Task-Directed Sensor Fusion and Planning (Kluwer Academic Publishers, 1990) and coeditor of The Confluence of Vision and Control (Springer-Verlag, 1998). His research interests include visual tracking, hand-eye coordination, human-computer interaction, sensor data fusion, and sensor planning.