Active Perception and Robot Vision
Published on 16. December 2011
Book
Paperback/Softback
IX, 756 pages
978-3-642-77227-6 (ISBN)
Description
Intelligent robotics has become the focus of extensive
research activity. This effort has been motivated by the
wide variety of applications that can benefit from the
developments. These applications often involve mobile
robots, multiple robots working and interacting in the same
work area, and operations in hazardous environments like
nuclear power plants. Applications in the consumer and
service sectors are also attracting interest. These
applications have highlighted the importance of performance,
safety, reliability, and fault tolerance.
This volume is a selection of papers from a NATO Advanced
Study Institute held in July 1989 with a focus on active
perception and robot vision. The papers deal with such
issues as motion understanding, 3-D data analysis, error
minimization, object and environment modeling, object
detection and recognition, parallel and real-time vision,
and data fusion. The paradigm underlying the papers is that
robotic systems require repeated and hierarchical
application of the perception-planning-action cycle. The
primary focus of the papers is the perception part of the
cycle. Issues related to complete implementations are also
discussed.
More details
Series
Edition
Softcover reprint of the original 1st ed. 1992
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
IX, 756 p.
Dimensions
Height: 242 mm
Width: 170 mm
Thickness: 42 mm
Weight
1296 gr
ISBN-13
978-3-642-77227-6 (9783642772276)
DOI
10.1007/978-3-642-77225-2
Schweitzer Classification
Other editions
Additional editions
Arun K. Sood | Harry Wechsler
Active Perception and Robot Vision
Proceedings of the NATO Advanced Study Institute on Active Perception and Robot Vision, Held at Maratea, Italy, July 16-29, 1989
Book
01/1993
Springer
€112.34
Article exhausted; check different version
Content
Motion Understanding Systems.- Reflections on Active (Machine) Vision.- Motion Parameter Estimation Using Correspondence Approach.- Active Vision Through Prediction-Error Minimization.- Representing Scenes Along a Route by a Moving Observer.- Gaze Behaviors for Robotics.- On Focus-of-Attention by Active Focusing.- Active Perception and 3D Object Recognition.- Symbolic Representation of Object Models.- Environment Models and Information Assimilation.- Scene Segmentation in the Framework of Active Perception.- A Neural Network Application for Classifying Surfaces.- Indexing via Color Histograms.- On the Design of Robot Vision Systems.- Parallel Vision.- Towards Parallel Processing of Multisensed Data.- Real-Time Vision for Autonomous and Teleoperated Control of Unmanned Vehicles.- Behavioral Knowledge in Sensor/Data Fusion Systems.- Group-Theoretic Approach to Motion Analysis for 3D Robotic Tracking.- Multi-Sensor Integration for Robots Interacting with Autonomous Objects.- Segmentation of Moving Objects.- Apparent Motions in Three-Dimensional Images.- Efficient Representation and High-Compression Coding of Image Sequences.- A New Paradigm for Computational Stereo.- Smoothing Range Data for Curvature Estimation.- Residual Analysis for Range Image Segmentation and Classification.- Using Curvature Information in the Decomposition and Representation of Planar Curves.- Investigation into Building an Invariant Surface Model from Sparse Data.- Form Features Recognition in a Multi-Level Representation Context.- Orientation and Spatial Occupancy Representations in Shape Analysis.- On Active Contour Models.- Templates and the Hough Transform.- Coefficient Focusing for the Moore-Penrose Associative Memory.- Object Detection in Noisy Images.- Active Feature Localization.- Haptic Perception with a Robot Hand: Requirements and Realization.- Visual Techniques for the Controlled Movement of Docking.- Towards the Development of a Multisensorial Vision System: An Adaptive Approach to the Low-Level Phase.- Attributed Parallel Rewriting in Vision.