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" Multisensor fusion for computer vision "
edited by J.K. Aggarwal, Department of Electrical and Computing Engineering, the University of Texas at Austin, Austin, TX 78712-1084, USA.
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BL
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747053
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b567004
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edited by J.K. Aggarwal, Department of Electrical and Computing Engineering, the University of Texas at Austin, Austin, TX 78712-1084, USA.
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| Title & Author
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Multisensor fusion for computer vision\ edited by J.K. Aggarwal, Department of Electrical and Computing Engineering, the University of Texas at Austin, Austin, TX 78712-1084, USA.
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| Publication Statement
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Berlin : Springer-Verlag, [, 1993] ©1993
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| Series Statement
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NATO ASI series., Series F,, Computer and systems sciences ;, no. 99.
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(x, 456 pages) : illustrations
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| ISBN
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3642081355
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: 366202957X
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: 9783642081354
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: 9783662029572
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| Notes
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Proceedings of the NATO Advanced Research Workshop on Multisensor Fusion for Computer Vision, held in Grenoble, France, June 26-30, 1989--Title page verso."Published in cooperation with NATO Scientific Affairs Division."
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| Contents
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Information Integration and Model Selection in Computer Vision.- Principles and Techniques for Sensor Data Fusion.- The Issues, Analysis, and Interpretation of Multisensor Images.- Physically-Based Fusion of Visual Data over Space, Time, and Scale.- What Can Be Fused?.- Kalman Filter-Based Algorithms for Estimating Depth from Image Sequences.- Robust Linear Rules for Nonlinear Systems.- Geometric Sensor Fusion in Robotics (Abstract).- Cooperation between 3D Motion Estimation and Token Trackers (Abstract).- Three-Dimensional Fusion from a Monocular Sequence of Images.- Fusion of Range and Intensity Image Data for Recognition of 3D Object Surfaces.- Integrating Driving Model and Depth for Identification of Partially Occluded 3D Models.- Fusion of Color and Geometric Information.- Evidence Fusion Using Constraint Satisfaction Networks.- Multisensor Information Integration for Object Identification.- Distributing Inferential Activity for Synchronic and Diachronic Data Fusion.- Real-Time Perception Architectures: The SKIDS Project.- Algorithms on a SIMD Processor Array.- Shape and Curvature Data Fusion by Conductivity Analysis (Abstract).- A Knowledge-Based Sensor Fusion Editor.- Multisensor Change Detection for Surveillance Applications.- Multisensor Techniques for Space Robotics.- Coordinated Use of Multiple Sensors in a Robotic Workcell.- Neural Network Based Inspection of Machined Surfaces Using Multiple Sensors.- Adaptive Visual/Auditory Fusion in the Target Localization System of the Barn Owl.- Index of Key Terms.- Workshop Speakers.
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| Abstract
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This volume presents a set of papers based on the proceedings of the NATO Advanced Research Workshop on Multisensor Fusion for Computer Vision, held in Grenoble, France, in June 1989. The workshop focused on the fusion or integration of sensor information to achieve the optimum interpretation of a scene. The papers cover a broad range of topics, including principles and issues in multisensor fusion, information fusion for navigation, multisensor fusion for object recognition, network approaches to multisensor fusion, computer architectures for multisensor fusion, and applications of multisensor fusion. The authors have documented their own research and, in so doing, have presented the state of the art in the field. Each author is a recognized leader in his or her area in the academic, governmental, or industrial research community. Several contributors present novel points of view on the integration of information. The book gives a representative picture of current progress in multisensor fusion for computer vision among the leading research groups in Europe and North America.
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Computer vision -- Congresses.
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Computer vision.
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Multisensor data fusion -- Congresses.
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| LC Classification
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TA1632.E358 9999
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| Added Entry
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J K Aggarwal
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North Atlantic Treaty Organization. Scientific Affairs Division
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