Second International Workshop on
Energy Minimization Methods in
Computer Vision and Pattern Recognition

University of York, York, England, July 26-29, 1999

Energy minimization methods represent a fundamental methodology in computer vision and pattern recognition, with roots in such diverse disciplines as Physics, Psychology, and Statistics. Recent manifestations of the idea include Markov random fields, relaxation labeling, various types of neural networks, etc. These techniques are finding application in areas such as early vision, graph matching, motion analysis, visual reconstruction, etc. The aim of this workshop is to consolidate research efforts in this area, and to provide a discussion forum for researchers and practitioners interested in this important yet diverse subject. The scientific program of the workshop will include the presentation of invited talks and contributed research papers. The workshop is sponsored by the International Association for Pattern Recognition (IAPR) and organized by the Department of Computer Science of the University of York.


For further information please contact:

Edwin Hancock
Computer Science Dpt.
University of York
York, YO1 5DD
Phone: +44 1904 433374
Fax : +44 1904 432767
E-mail: erh@minster.york.ac.uk

This page was created by Marco Carcassoni and updated by SJ Farmer.