Geoff Ellis 
Alan Dix 
Paper at AVI'2006, 2426 May 2006, Venezia, ITALY.
AbstractThis paper discusses different occlusion metrics that can be used to drive automatic sampling and several ways of calculating them. Previous work has demonstrated that random sampling can aid the visualisation of large data sets, and that a sampling lens can be used to enable focus+context viewing of a region at appropriate sampling rates. Autosampling (automatically choosing the sampling rate) was proposed to make the sampling lens easier to use. This requires rapid and continuous recalculation of the sampling rate. We find that the crudest and fastest occlusion estimate is nearly as good as the more expensive etruef complete measurement. keywords: Sampling, random sampling, lens, clutter, occlusion, density reduction, overplotting, information visualisation 

References


http://www.hcibook.com/alan/papers/avi2006lens/ 
Alan Dix 13/5/2006 