Robust Vision For Vision-based Control Of Motion

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 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.

 

Table of Contents:

Preface.

List of Contributors.

Cue Integration for Manipulation (D. Kragić & 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.