The Confluence of Vision and Control

by David J. Kriegman (Editor), Gregory D. Hager (Editor), Stephen A. Morse (Editor)

Overview

The collection of articles presented here, emerged from the Block Island Workshop on Vision and Control that brought together pioneering researchers from around the world. Discussions of new theoretical developments and the empirical validation of techniques and applications, are recorded in this book. Over recent years, robotics, computer vision and control theory researchers have addressed theoretical issues of: real-time vision, visual tracking, the active focus of attention and vision-based control of motion. At the same time, these theoretical insights have been used in applications such as: vision-based autonomous driving, vision-based grasping, human-computer interfaces, control of MEMS systems and medical image processing. From this book the reader will gain an overview of the latest thinking in vision and control, as well as an introduction to many of the techniques used in this area.

Product Details

ISBN-13:	9781852330255
Publisher:	Springer London
Publication date:	09/11/1998
Series:	Lecture Notes in Control and Information Sciences , #237
Edition description:	1st Edition.
Pages:	285
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Research issues in vision and control.- Visual homing: Surfing on the epipoles.- Role of active vision in optimizing visual feedback for robot control.- An alternative approach for image-plane control of robots.- Potential problems of stability and convergence in image-based and position-based visual servoing.- What can be done with an uncalibrated stereo system?.- Visual tracking of points as estimation on the unit sphere.- Extending visual servoing techniques to nonholonomic mobile robots.- A lagrangian formulation of nonholonomic path following.- Vision guided navigation for a nonholonomic mobile robot.- Design, delay and performance in gaze control: Engineering and biological approaches.- The separation of photometry and geometry via active vision.- Vision-based system identification and state estimation.- Visual tracking, active vision, and gradient flows.- Visual control of grasping.- Dynamic vision merging control engineering and AI methods.- Real-time pose estimation and control for convoying applications.- Visual routines for vehicle control.- Microassembly of micro-electro-mechanical systems (MEMS) using visual servoing.- The block island workshop: Summary report.