This book is the result of a special workshop on Spatial Computing which brought together experts in computer vision, visualization, multimedia and geographic information systems to discuss common problems and applications. The common theme of the workshop was the need to integrate human perception and domain knowledge with developing representations and solutions to problems which necessarily involve the interpretation of sensed data. The overwhelming conclusion was that these different areas of spatial computing should be communicating more than is done at present and that such workshops and publications would help this process.
Part 1 Computer vision and recognition systems: Bayesian paradigms in image processing, Z.Q. Liu; robot navigation by visual dead-reckoning - inspiration from insects, M. Srinivasan et al; assessing feature importance in the context of object recognition, G. West; geometric variations - analysis, optimization and control, B. Daniel et al; using aspect graphs to control the recovery and tracking of deformable models, S. Dickinson and D. Metaxas; the role of machine learning in building image interpretation systems, T. Caelli and W. Bischof; recent advances in graph matching, H. Bunke and B. Messmer; co-operative spatial reasoning for image understanding, T. Matsuyama and T. Wade. Part 2 Visualization, multi-media and geographic information systems: human understanding limits in visualization, A. Maeder; strategies for the visualization of complex geographical datasets, M. Gahegan; visualizing spatial data - the problem of paradigms, P. Robertson; the visitors guide - a simple video reuse application, K. Shearer et al; conceptual representation for multi-media information, R. Smith et al.