Bültmann & Gerriets
Intelligent Computer Graphics 2011
von Georgios Miaoulis, Dimitri Plemenos
Verlag: Springer Berlin Heidelberg
Reihe: Studies in Computational Intelligence Nr. 374
Gebundene Ausgabe
ISBN: 978-3-642-22906-0
Auflage: 2012
Erschienen am 19.10.2011
Sprache: Englisch
Format: 241 mm [H] x 160 mm [B] x 18 mm [T]
Gewicht: 521 Gramm
Umfang: 208 Seiten

Preis: 160,49 €
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Klappentext
Inhaltsverzeichnis

In Computer Graphics, the use of intelligent techniques started more recently than in other research areas. However, during these last two decades, the use of intelligent Computer Graphics techniques is growing up year after year and more and more interesting techniques are presented in this area.
 
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), ¿Intelligent Computer Graphics 2009¿ (2009) and ¿Intelligent Computer Graphics 2010¿ (2010).
 
This volume contains selected extended papers from the last 3IA Conference (3IA¿2011), which has been held in Athens (Greece) in May 2011. This year papers are particularly exciting and concern areas like virtual reality, artificial life, data visualization, games, global illumination, point cloud modelling, declarative modelling, scene reconstruction and many other very important themes.



Detecting visual convergence for stochastic global illumination.- Verbalization of 3D scenes based on Natural Language Generation techniques.- Objects Description exploiting User's Sociality.- Knowledge-Based Analysis and Synthesis of Virtual 3D Campus Infrastructure Models.- On the evaluation of the combined role of Virtual Reality games and animated agents in edutainment.- Intuitive method for pedestrians in virtual environments.- Pathfinding with Emotion Maps.- Gait evolution for humanoid robot in a physically simulated environment.- Techniques for extracting and modeling geometric features from point cloud data sets with application to urban terrain modeling.


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