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Informationen zum Autor About the Editors 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. Klappentext Electrical Engineering Robust Vision for Vision-Based Control of Motion 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 needsRobust 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. Zusammenfassung "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. Inhaltsverzeichnis Preface.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. ...
