Active Perception and Robot Vision

Harry Wechsler

ISBN 10: 3642772277 / ISBN 13: 9783642772276

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2011, 2011

Riguardo questo articolo

This item is printed on demand - Print on Demand Titel. Neuware -Intelligent robotics has become the focus of extensiveresearch activity. This effort has been motivated by thewide variety of applications that can benefit from thedevelopments. These applications often involve mobilerobots, multiple robots working and interacting in the samework area, and operations in hazardous environments likenuclear power plants. Applications in the consumer andservice sectors are also attracting interest. Theseapplications have highlighted the importance of performancesafety, reliability, and fault tolerance.This volume is a selection of papers from a NATO AdvancedStudy Institute held in July 1989 with a focus on activeperception and robot vision. The papers deal with suchissues as motion understanding, 3-D data analysis, errorminimization, object and environment modeling, objectdetection and recognition, parallel and real-time visionand data fusion. The paradigm underlying the papers is thatrobotic systems require repeated and hierarchicalapplication of the perception-planning-action cycle. Theprimary focus of the papers is the perception part of thecycle. Issues related to complete implementations are alsodiscussed.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 772 pp. Englisch.

Codice articolo 9783642772276

Dati bibliografici

• Titolo: Active Perception and Robot Vision
• Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2011
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 3642772277
• ISBN 13: 9783642772276
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

Robot vision tasks require new software architecture and algorithms to integrate and manage sensors and images. This volume is a selection of papers from a NATO Advanced Study Institute on active perception and robot vision.

Contenuti

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.