Granular-Relational Data Mining

Nowadays, intelligent techniques are more and more used in Computer Graphics
in order to optimise the processing time, to find more accurate solutions for a lot
of Computer Graphics problems, than with traditional methods, or simply to find
solutions in problems where traditional methods fail.
The purpose of this volume is to present current work of the Intelligent Computer
Graphics community, a community growing up year after year. This volume is a
kind of continuation of the previously published Springer volumes “Artificial Intelligence
Techniques for Computer Graphics” (2008) and “Intelligent Computer
Graphics 2009” (2009).
This volume contains selected extended papers from the last 3IA Conference
(3IA’2010), which has been held in Athens (Greece) in May 2010. This year papers
are particularly exciting and concern areas like rendering, viewpoint quality,
data visualisation, vision, computational aesthetics, scene understanding, intelligent
lighting, declarative modelling, GIS, scene reconstruction and other important
themes.