Mathematical Methods in Computer Vision

One Day BMVA symposium at the Royal Statistical Society, 12 Errol Street, London, UK on January 23rd 2002.
www.bmva.ac.uk/meetings

Chairperson: Prof Maria Petrou

10:00    Registration and coffee

10:25    Introduction and welcome

10:30   The Mathematics of Multi-view Geometry, John H Gilby, Sira Ltd.

11:00    On the Numerical Analysis of Linear Methods to Estimate the Essential Matrix, Ebroul Izquierdo Queen Mary, University of London

11:30    How I Learned to Love nonlinear Optimization, Andrew Fitzgibbon, University of Oxford

12:00    Hierarchical Adaptive Curve Based Matching for Novel View Synthesis, Li-Qun Xu, BTexact Technologies - Research

12:30    Avoiding Windows and Building Trees: graph methods and morphology in vision, Richard Harvey and Andrew Bangham, University of East Anglia

13:00    Lunch

14:00   Hough Transforms: an adaptable family of noise-resistant algorithms, Chris Trayner, Leeds University Download code

14:30    Support Vector Machines and Human Gait Classification, Vijay Laxmi, University of Southampton

15:00    Tea

16:00    Multiresolution Markov Random Field Models for Image Segmentation, Roland Wilson, University of Warwick

16:30    Simulated Annealing and Multiresolution Optimization, Maria Petrou, University of Surrey

17:00   Closing remarks and finish