Vision Algorithms Theory and Practice: International Workshop on Vision Algorithms Corfu, Greece, September 21-22, 1999 Proceedings - Lecture Notes in Computer Science

Marc Notes: Includes bibliographical references and index. Table of Contents: Correspondence and Tracking.- An Experimental Comparison of Stereo Algorithms.- A General Method for Feature Matching and Model Extraction.- Characterizing the Performance of Multiple-Image Point-Correspondence Algorithms Using Self-Consistency.- A Sampling Algorithm for Tracking Multiple Objects.- Real-Time Tracking of Complex Structures for Visual Servoing.- Geometry and Reconstruction.- Direct Recovery of Planar-Parallax from Multiple Frames.- Generalized Voxel Coloring.- Projective Reconstruction from N Views Having One View in Common.- Point- and Line-Based Parameterized Image Varieties for Image-Based Rendering.- Recovery of Circular Motion from Profiles of Surfaces.- Optimal Reconstruction.- Optimization Criteria, Sensitivity and Robustness of Motion and Structure Estimation.- Gauge Independence in Optimization Algorithms for 3D Vision.- Uncertainty Modeling for Optimal Structure from Motion.- Error Characterization of the Factorization Approach to Shape and Motion Recovery.- Bootstrapping Errors-in-Variables Models.- Invited Talks.- Annotation of Video by Alignment to Reference Imagery.- Computer-Vision for the Post-production World: Facts and Challenges through the REALViZ Experience.- Special Sessions.- About Direct Methods.- Feature Based Methods for Structure and Motion Estimation.- Discussion for Direct versus Features Session.- Bundle Adjustment A Modern Synthesis.- Discussion for Session on Bundle Adjustment.- Summary of the Panel Session."Publisher Marketing: This text 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 hope to have succeeded in providing added value beyond a mere collection of papers and made the volume a state-of-the-art survey of their field.

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