Intelligent computer graphics 2009
著者
書誌事項
Intelligent computer graphics 2009
（Studies in computational intelligence, v. 240）
Springer, c2009
大学図書館所蔵 件 / 全1件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
"This volume contains ... papers from the last 3IA Conference (3IA '2009), which has been held in Athens (Greece) in May 2009." -- Pref
内容説明・目次
内容説明
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 volume "Artificial Int- ligence Techniques for Computer Graphics". Nowadays, intelligent techniques are more and more used in Computer Graphics in order, not only to optimise the pr- essing time, but also to find more accurate solutions for a lot of Computer Gra- ics problems, than with traditional methods. What are intelligent techniques for Computer Graphics? Mainly, they are te- niques based on Artificial Intelligence. So, problem resolution (especially constraint satisfaction) techniques, as well as evolutionary techniques, are used in Declarative scene Modelling; heuristic search techniques, as well as strategy games techniques, are currently used in scene understanding and in virtual world exploration; multi-agent techniques and evolutionary algorithms are used in behavioural animation; and so on. However, even if in most cases the used intelligent techniques are due to Artificial - telligence, sometimes, simple human intelligence can find interesting solutions in cases where traditional Computer Graphics techniques, even combined with Artificial Intelligence ones, cannot propose any satisfactory solution. A good example of such a case is the one of scene understanding, in the case where several parts of the scene are impossible to access.
目次
Realistic Skin Rendering on GPU.- Affective States in Behavior Networks.- Information Theory Tools for Viewpoint Selection, Mesh Saliency and Geometry Simplification.- Classifying Volume Datasets Based on Intensities and Geometric Features.- Light Source Storage and Interpolation for Global Illumination: A Neural Solution.- An Intelligent System for Overlaying Texts on Background Images Based on Computational Aesthetics.- Parallel Coordinates: Intelligent Multidimensional Visualization.- An Adjectival Interface for Procedural Content Generation.- An SVM/GA Hybrid Framework for Qualitative Knowledge Aided 3D Scene Synthesis.- Machine Learning and Pattern Analysis Methods for Profiling in a Declarative Collaorative Framework.- AURAL: An Evolutionary Interface for a Robotic Sonification Process.
「Nielsen BookData」 より