Uncertainty in Geometric Computations

  • Joab Winkler
  • Mahesan Niranjan

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Adrian Bowyer, Ralph Martin, Huahao Shou, Irina Voiculescu
    Pages 1-14
  3. Lehel Csato, Dan Cornford, Manfred Opper
    Pages 29-39
  4. Chris Doran, Anthony Lasenby, Joan Lasenby
    Pages 41-58
  5. Laurent Dupont, Sylvain Lazard, Sylvain Petitjean, Daniel Lazard
    Pages 59-68
  6. A. R. Forrest
    Pages 69-77
  7. Pierre J. Malraison, William A. Denker
    Pages 79-89
  8. Mark Foskey, Dinesh Manocha, Tim Culver, John Keyser, Shankar Krishnan
    Pages 91-106
  9. Daniel D. Morris, Takeo Kanade
    Pages 107-117
  10. Jeremy Oakley, Anthony O’Hagan
    Pages 119-130
  11. B
    T. Poggio, S. Mukherjee, R. Rifkin, A. Raklin, A. Verri
    Pages 131-141
  12. Huahao Shou, Ralph Martin, Guojin Wang, Irina Voiculescu, Adrian Bowyer
    Pages 143-154
  13. Yi Sun, Peter Tino, Ian Nabney
    Pages 165-173
  14. Barry Theobald, J. Andrew Bangham, Silko Kruse, Gavin Cawley, Iain Matthews
    Pages 175-184
  15. Si Wu, Danmei Chen
    Pages 199-207
  16. Back Matter
    Pages 209-210

About this book


This book contains the proceedings of the workshop Uncertainty in Geomet­ ric Computations that was held in Sheffield, England, July 5-6, 2001. A total of 59 delegates from 5 countries in Europe, North America and Asia attended the workshop. The workshop provided a forum for the discussion of com­ putational methods for quantifying, representing and assessing the effects of uncertainty in geometric computations. It was organised around lectures by invited speakers, and presentations in poster form from participants. Computer simulations and modelling are used frequently in science and engi­ neering, in applications ranging from the understanding of natural and artificial phenomena, to the design, test and manufacturing stages of production. This widespread use necessarily implies that detailed knowledge of the limitations of computer simulations is required. In particular, the usefulness of a computer simulation is directly dependent on the user's knowledge of the uncertainty in the simulation. Although an understanding of the phenomena being modelled is an important requirement of a good computer simulation, the model will be plagued by deficiencies if the errors and uncertainties in it are not consid­ ered when the results are analysed. The applications of computer modelling are large and diverse, but the workshop focussed on the management of un­ certainty in three areas : Geometric modelling, computer vision, and computer graphics.


3D Analysis Video algorithms ants computational geometry computer graphics computer simulation computer vision geometric modelling management model modeling simulation visualization

Editors and affiliations

  • Joab Winkler
    • 1
  • Mahesan Niranjan
    • 1
  1. 1.University of SheffieldUK

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5252-5
  • Online ISBN 978-1-4615-0813-7
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site