BMVC92

1. Front Matter

   Pages i-xi

   PDF

2. Performance Characterization in Computer Vision

   • Robert M. Haralick

   Pages 1-8

3. Training Models of Shape from Sets of Examples

   • T. F. Cootes, C. J. Taylor, D. H. Cooper, J. Graham

   Pages 9-18

4. The Delaunay/Voronoi Selection Graph: a Method for Extracting Shape Information from 2-D Dot-Patterns with an Extension to 3-D

   • Glynn Robinson, Lewis Griffin, Alan Colchester

   Pages 19-28

5. Range Recovery using Virtual Multi-camera Stereo

   • David W. Murray, Paul A. Beardsley

   Pages 29-38

6. Robust Recovery of 3D Ellipse Data

   • Stephen Pollard, John Porrill

   Pages 39-48

7. Affine and Projective Structure from Motion

   • Sabine Demey, Andrew Zisserman, Paul Beardsley

   Pages 49-58

8. Planar Region Detection and Motion Recovery

   • D. Sinclair, A. Blake, S. Smith, C. Rothwell

   Pages 59-68

9. 3D Structure and Motion Estimation from 2D Image Sequences

   • T. N. Tan, K. D. Baker, G. D. Sullivan

   Pages 69-78

10. Statistical Detection of Independent Movement from a Moving Camera

    • P. H. S. Torr, D. W. Murray

    Pages 79-88

11. Accurate Boundary Location from Motion

    • J. A. Marchant

    Pages 89-98

12. From Features to Perceptual Categories

    • W. Richards, J. Feldman, A. Jepson

    Pages 99-108

13. Vanishing Point Detection

    • A. Tai, J. Kittler, M. Petrou, T. Windeatt

    Pages 109-118

14. Contextual Junction Finder

    • J. Matas, J. Kittler

    Pages 119-128

15. Generation of 3D Dense Depth Maps by Dynamic Vision

    • José Santos-Victor, João Sentieiro

    Pages 129-138

16. A New Class of Corner Finder

    • Stephen Smith

    Pages 139-148

17. On Evidence Assessment for Model-Based Recognition

    • L. Du, G. D. Sullivan, K. D. Baker

    Pages 149-156

18. Lane Boundary Tracking for an Autonomous Road Vehicle

    • N. W. Campbell, B. T. Thomas

    Pages 157-166

19. Indexing Two-Dimensional Objects Using Parametrised Geometric Features

    • C. C. Hand

    Pages 167-176

20. The Adaptive Bisector Method: Separating Slant and Tilt in Estimating Shape from Texture

    • James V. Stone

    Pages 177-186

This book contains the 61 papers that were accepted for presenta­ tion at the 1992 British Machine Vision Conference. Together they provide a snapshot of current machine vision research throughout the UK in 24 different institutions. There are also several papers from vision groups in the rest of Europe, North America and Australia. At the start of the book is an invited paper from the first keynote speaker, Robert Haralick. The quality of papers submitted to the conference was very high and the programme committee had a hard task selecting around half for presentation at the meeting and inclusion in these proceedings. It is a positive feature of the annual BMV A conference that the entire process from the submission deadline through to the conference itself and publication of the proceedings is completed in under 5 months. My thanks to members of the programme committee for their essential contribution to the success of the conference and to Roger Boyle, Charlie Brown, Nick Efford and Sue Nemes for their excellent local organisation and administration of the conference at the University of Leeds.

• 3D
• algorithms
• cognition
• computer vision
• hidden markov model
• image analysis
• image processing
• knowledge
• machine vision
• neural networks
• object recognition
• pattern analysis
• pattern recognition
• perception
• robot

• School of Computer Studies, University of Leeds, Leeds, UK

  David Hogg, Roger Boyle

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