Intelligent Computer Graphics 2009

1. Front Matter

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2. Realistic Skin Rendering on GPU

   • Elena Martinova

   Pages 1-18

3. Affective States in Behavior Networks

   • Anja Johansson, Pierangelo Dell’Acqua

   Pages 19-39

4. Information Theory Tools for Viewpoint Selection, Mesh Saliency and Geometry Simplification

   • Mateu Sbert, Miquel Feixas, Pascual Castelló, Miguel Chover

   Pages 41-61

5. Classifying Volume Datasets Based on Intensities and Geometric Features

   • Dženan Zukić, Christof Rezk-Salama, Andreas Kolb

   Pages 63-86

6. Light Source Storage and Interpolation for Global Illumination: A Neural Solution

   • Samuel Delepoulle, Christophe Renaud, Philippe Preux

   Pages 87-104

7. An Intelligent System for Overlaying Texts on Background Images Based on Computational Aesthetics

   • Chien-Yin Lai, Sheng-Wen Shih, Bai-Huan Chen, Jen-Shin Hong

   Pages 105-122

8. Parallel Coordinates: Intelligent Multidimensional Visualization

   • Alfred Inselberg

   Pages 123-141

9. An Adjectival Interface for Procedural Content Generation

   • Carl Hultquist, James Gain, David Cairns

   Pages 143-165

10. An SVM/GA Hybrid Framework for Qualitative Knowledge Aided 3D Scene Synthesis

    • Dimitrios Makris, Georgios Bardis, Georgios Miaoulis, Dimitri Plemenos

    Pages 167-188

11. Machine Learning and Pattern Analysis Methods for Profiling in a Declarative Collaorative Framework

    • Nikolaos Doulamis, John Dragonas, Anastasios Doulamis, Georgios Miaoulis, Dimitri Plemenos

    Pages 189-206

12. AURAL: An Evolutionary Interface for a Robotic Sonification Process

    • Artemis Moroni, Eliane Guimarães, Gustavo de Paula, Jônatas Manzolli

    Pages 207-222

13. Back Matter

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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.

• 3D
• GPU
• artificial intelligence
• behavior
• computer graphics
• evolution
• intelligence
• knowledge
• learning
• machine learning
• modeling
• pattern analysis
• rendering
• robot
• visualization

• University of Limoges, Limoges, France

  Dimitri Plemenos

• Department of Computer Science, Technological Education Institute of Athens, Athens, Greece

  Georgios Miaoulis

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