Spatial Computing: Issues in Vision, Multimedia and Visualization Technologies

摘要

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.