Robust Vision for Vision-Based Control of Motion
SPIE/IEEE Series on Imaging Science & Engineering, Series Editor: Edward R. Dougherty
1. Auflage Februar 2000
262 Seiten, Hardcover
Wiley & Sons Ltd
"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."
List of Contributors.
Cue Integration for Manipulation (D. Kragi & H. Christensen).
Spatially Adaptive Filtering in a Model-Based Machine Vision Approach to Robust Workpiece Tracking (H. Nagel, et al.).
Incremental Focus of Attention: A Layered Approach to Robust Vision and Control (K. Toyama, et al.).
Integrated Object Models for Robust Visual Tracking (K. Nickels & S. Hutchinson).
Robust Visual Tracking by Integrating Various Cues (Y. Shirai, et al.).
Two-Dimensional Model-Based Tracking of Complex Shapes for Visual Servoing Tasks (N. Giordana, et al.).
Interaction of Perception and Control for Indoor Exploration (D. Burschka, et al.).
Real-Time Image Processing for Image-Based Visual Servoing (P. Rivers & J. Borrelly).
Proven Techniques for Robust Visual Servo Control (K. Arbter, et al.).
Global Signatures for Robot Control and Reconstruction (R. Hicks, et al.).
Using Foveated Vision for Robust Object Tracking: Three-Dimensional Horopter Analysis (N. Oshiro, et al.).
Evaluation of the Robustness of Visual Behaviors Through Performance Characterization (J. Barretto, et al.).
Robust Image Processing and Position-Based Visual Servoing (W. Wilson, et al.).
Vision-Based Objective Selection for Robust Ballistic Manipulation (B. Bishop & M. Spong).
Vision-Based Autonomous Helicopter Research at Carnegie Mellon Robotics Institute (1991-1998) (O. Amidi, et al.).
Index.
About the Editors.
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.
