Skip to main content
SpringerLink
Log in
Book cover

Multisensor Fusion for Computer Vision

  • Conference proceedings
  • © 1993

Overview

Editors:
  1. J. K. Aggarwal

    1. Computer and Vision Research Center Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: NATO ASI Subseries F: (NATO ASI F, volume 99)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (25 papers)

  1. Front Matter

    Pages I-X
    Download chapter PDF

  2. Principles and Issues in Multisensor Fusion

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Information Integration and Model Selection in Computer Vision

      • Jan-Olof Eklundh
      Pages 3-13

    3. Principles and Techniques for Sensor Data Fusion

      • James L. Crowley
      Pages 15-36

    4. The Issues, Analysis, and Interpretation of Multi-Sensor Images

      • J. K. Aggarwal, Chen-Chau Chu
      Pages 37-62

    5. Physically-Based Fusion of Visual Data over Space, Time, and Scale

      • Demetri Terzopoulos
      Pages 63-69

    6. What Can be Fused?

      • Gerard T. McKee
      Pages 71-84

  3. Information Fusion for Navigation

    1. Front Matter

      Pages 85-85
      Download chapter PDF

    2. Kalman Filter-based Algorithms for Estimating Depth from Image Sequences

      • Larry Matthies, Richard Szeliski, Takeo Kanade
      Pages 87-130

    3. Robust Linear Rules for Nonlinear Systems

      • Greg Hager
      Pages 131-150

    4. Geometric Sensor Fusion in Robotics

      • Hugh F. Durrant-Whyte
      Pages 151-151

    5. Cooperation between 3D Motion Estimation and Token Trackers

      • G. Toscani, R. Deriche
      Pages 153-153

    6. Three-Dimensional Fusion from a Monocular Sequence of Images

      • J. L. Jezouin, N. Ayache
      Pages 155-167

  4. Multisensor Fusion for Object Recognition

    1. Front Matter

      Pages 169-169
      Download chapter PDF

    2. Fusion of Range and Intensity Image Data for Recognition of 3D object surfaces

      • Jianchi Wei, Paul Levi, Ulrich Rembold
      Pages 171-194

    3. Integrating Driving Model and Depth for Identification of Partially Occluded 3D Models

      • A. Sanfeliu, M. Añaños, M. J. Dunjó
      Pages 195-211

    4. Fusion of Color and Geometric Information

      • Xavier F. Lebègue, David C. Baker, J. K. Aggarwal
      Pages 213-237

    5. Evidence Fusion Using Constraint Satisfaction Networks

      • Andrea Califano, Ruud M. Bolle, Rick Kjeldsen, Russell W. Taylor
      Pages 239-253

    6. Multisensor Information Integration for Object Identification

      • A. Mitiche, R. Laganière, T. Henderson
      Pages 255-276

  5. Computer Architectures for Multisensor Fusion

    1. Front Matter

      Pages 277-277
      Download chapter PDF
Back to top

Keywords

About this book

This volume contains revised papers based on contributions to the NATO Advanced Research Workshop on Multisensor Fusion for Computer Vision, held in Grenoble, France, in June 1989. The 24 papers presented here cover a broad range of topics, including the principles and issues in multisensor fusion, information fusion for navigation, multisensor fusion for object recognition, network approaches to multisensor fusion, computer architectures for multi sensor fusion, and applications of multisensor fusion. The participants met in the beautiful surroundings of Mont Belledonne in Grenoble to discuss their current work in a setting conducive to interaction and the exchange of ideas. Each participant is a recognized leader in his or her area in the academic, governmental, or industrial research community. The workshop focused on techniques for the fusion or integration of sensor information to achieve the optimum interpretation of a scene. Several participants presented novel points of view on the integration of information. The 24 papers presented in this volume are based on those collected by the editor after the workshop, and reflect various aspects of our discussions. The papers are organized into five parts, as follows.

Editors and Affiliations

  • Computer and Vision Research Center Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, USA

    J. K. Aggarwal

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation