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 Applied Mathematics and Computer Science of the University of Venice "Ca' Foscari."

Contents

Organizing committee


Invited speakers


Proceedings


Scientific program


General information


Social program


Registration


Accommodation information


Special issue of Pattern Recognition


Concomitant events