Robust Vision for Vision-based Control of Motion (SPIE/IEEE Series on Imaging Science & Engineering) (Press Monographs) - Hardcover

9780819435026: Robust Vision for Vision-based Control of Motion (SPIE/IEEE Series on Imaging Science & Engineering) (Press Monographs)

Hardcover

ISBN 10: 0819435023 ISBN 13: 9780819435026

Publisher: SPIE Society of Photo-Optical Instrumentation Engi, 2000

This specific ISBN edition is currently not available.

Modern robots can perform complex tasks with astonishing precision and speed - within a structured environment. The challenge is to make a ""seeing robot"" that can perceive and react reliably in the complex and unpredictable real world. To this end, vision-based control of motion has drawn increasing interest in recent years.

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From the Back Cover

Find the design principles you need for moving vision–based control out of the lab and into the real world. In this edited collection of state–of–the–art, specially written chapters, 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 book a strong emphasis on robust vision. You will also find an in–depth analysis of vision techniques used to control the motion of robots and machines. Expert contributors offer 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

Robust Vision for Vision–Based Control of Motion is a valuable tool for learning current approaches to robust vision–based control of motion. Learn from the experts how to speed up 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.

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