Vision Algorithms: Theory and Practice

1. Front Matter

   Pages I-X

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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

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.

• 3D
• Algorithmic Geometry
• Computer Vision
• Geometric Vision
• Image Analysis
• Image Processing
• Pattern Recognition
• Performance
• Stereo
• Variable
• Vision Algorithms
• Vision Geometry
• algorithms
• rendering
• algorithm analysis and problem complexity

• 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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