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Vision Algorithms: Theory and Practice

International Workshop on Vision Algorithms Corfu, Greece, September 21-22, 1999 Proceedings

  • Conference proceedings
  • © 2000

Overview

Editors:
  1. Bill Triggs

    1. INRIA Rhône-Alpes, Montbonnot, France

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  2. Andrew Zisserman

    1. Department of Engineering Science, Oxford University, UK

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    You can also search for this editor in PubMed   Google Scholar

  3. Richard Szeliski

    1. Microsoft Research, Redmond, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1883)

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Table of contents (23 papers)

  1. Front Matter

    Pages I-X
    Download chapter PDF

  2. Correspondence and Tracking

    1. An Experimental Comparison of Stereo Algorithms

      • Richard Szeliski, Ramin Zabih
      Pages 1-19

    2. A General Method for Feature Matching and Model Extraction

      • Clark F. Olson
      Pages 20-36

    3. Characterizing the Performance of Multiple-Image Point-Correspondence Algorithms Using Self-Consistency

      • Yvan G. Leclerc, Q.-Tuan Luong, P. Fua
      Pages 37-52

    4. A Sampling Algorithm for Tracking Multiple Objects

      • Hai Tao, Harpreet S. Sawhney, Rakesh Kumar
      Pages 53-68

    5. Real-Time Tracking of Complex Structures for Visual Servoing

      • Tom Drummond, Roberto Cipolla
      Pages 69-84

  3. Geometry and Reconstruction

    1. Direct Recovery of Planar-Parallax from Multiple Frames

      • Michal Irani, P. Anandan, Meir Cohen
      Pages 85-99

    2. Generalized Voxel Coloring

      • W. Bruce Culbertson, Thomas Malzbender, Greg Slabaugh
      Pages 100-115

    3. Projective Reconstruction from N Views Having One View in Common

      • M. Urban, T. Pajdla, V. Hlaváč
      Pages 116-131

    4. Point- and Line-Based Parameterized Image Varieties for Image-Based Rendering

      • Yakup Genc, Jean Ponce
      Pages 132-148

    5. Recovery of Circular Motion from Profiles of Surfaces

      • Paulo R. S. Mendonça, Kwan-Yee K. Wong, Roberto Cipolla
      Pages 149-165

  4. Optimal Reconstruction

    1. Optimization Criteria, Sensitivity and Robustness of Motion and Structure Estimation

      • Jana Košecká, Yi Ma, Shankar Sastry
      Pages 166-182

    2. Gauge Independence in Optimization Algorithms for 3D Vision

      • Philip F. McLauchlan
      Pages 183-199

    3. Uncertainty Modeling for Optimal Structure from Motion

      • Daniel D. Morris, Kenichi Kanatani, Takeo Kanade
      Pages 200-217

    4. Error Characterization of the Factorization Approach to Shape and Motion Recovery

      • Zhaohui Sun, Visvanathan Ramesh, A. Murat Tekalp
      Pages 218-235

    5. Bootstrapping Errors-in-Variables Models

      • Bogdan Matei, Peter Meer
      Pages 236-252

  5. Invited Talks

    1. Annotation of Video by Alignment to Reference Imagery

      • Keith J. Hanna, Harpreet S. Sawhney, Rakesh Kumar, Y. Guo, S. Samarasekara
      Pages 253-264

    2. Computer-Vision for the Post-production World: Facts and Challenges through the REALViZ Experience

      • Luc Robert
      Pages 265-266

  6. Special Sessions

    1. About Direct Methods

      • M. Irani, P. Anandan
      Pages 267-277

    2. Feature Based Methods for Structure and Motion Estimation

      • P. H. S. Torr, A. Zisserman
      Pages 278-294
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Keywords

About this book

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Vision Algorithms held in Corfu, Greece in September 1999 in conjunction with ICCV'99.
The 15 revised full papers presented were carefully reviewed and selected from 65 submissions; each paper is complemented by a brief transcription of the discussion that followed its presentation. Also included are two invited contributions and two expert reviews as well as a panel discussion. The volume spans the whole range of algorithms for geometric vision. The authors and volume editors succeeded in providing added value beyond a mere collection of papers and made the volume a state-of-the-art survey of their field.

Editors and Affiliations

  • INRIA Rhône-Alpes, Montbonnot, France

    Bill Triggs

  • Department of Engineering Science, Oxford University, UK

    Andrew Zisserman

  • Microsoft Research, Redmond, USA

    Richard Szeliski

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