Vision Algorithms: Theory and Practice: International Workshop on Vision Algorithms Corfu, Greece, September 21-22, 1999 Proceedings (Google eBook)

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Bill Triggs, Andrew Zisserman, Richard Szeliski
Springer Science & Business Media, Sep 6, 2000 - Computers - 382 pages
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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.
  

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Contents

An Experimental Comparison of Stereo Algorithms
1
A General Method for Feature Matching and Model Extraction
20
Characterizing the Performance of MultipleImage PointCorrespondence Algorithms Using SelfConsistency
37
A Sampling Algorithm for Tracking Multiple Objects
53
RealTime Tracking of Complex Structures for Visual Servoing
69
Direct Recovery of PlanarParallax from Multiple Frames
85
Generalized Voxel Coloring
100
Projective Reconstruction from N Views Having One View in Common
116
Error Characterization of the Factorization Approach to Shape and Motion Recovery
218
Bootstrapping ErrorsinVariables Models
236
Annotation of Video by Alignment to Reference Imagery
253
Facts and Challenges through the REALViZ Experience
265
About Direct Methods
267
Feature Based Methods for Structure and Motion Estimation
278
Discussion for Direct versus Features Session
295
Bundle Adjustment A Modern Synthesis
298

Point and LineBased Parameterized Image Varieties for ImageBased Rendering
132
Recovery of Circular Motion from Profiles of Surfaces
149
Optimization Criteria Sensitivity and Robustness of Motion and Structure Estimation
166
Gauge Independence in Optimization Algorithms for 3D Vision
183
Uncertainty Modeling for Optimal Structure from Motion
200
Discussion for Session on Bundle Adjustment
373
Summary of the Panel Session
376
Author Index
383
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About the author (2000)

Andrew Zisserman is a Science and Engineering Research Council (SERC) Research Fellow in the Department of Computer Science at the University of Edinburgh.