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 Annotation This book focuses on next generation data technologies in support of collective and computational intelligence. The book brings various next generation data technologies together to capture, integrate, analyze, mine, annotate and visualize distributed data made available from various community users in a meaningful and collaborative for the organization manner. A unique perspective on collective computational intelligence is offered by embracing both theory and strategies fundamentals such as data clustering, graph partitioning, collaborative decision making, self-adaptive ant colony, swarm and evolutionary agents. It also covers emerging and next generation technologies in support of collective computational intelligence such as Web 2.0 social networks, semantic web for data annotation, knowledge representation and inference, data privacy and security, and enabling distributed and collaborative paradigms such as P2P, Grid and Cloud Computing due to the geographically dispersed and distributed nature of the data. The book aims to cover in a comprehensive manner the combinatorial effort of utilizing and integrating various next generations collaborative and distributed data technologies for computational intelligence in various scenarios. The book also distinguishes itself by assessing whether utilization and integration of next generation data technologies can assist in the identification of new opportunities, which may also be strategically fit for purpose Front Matter....Pages - Detecting Visual Convergence for Stochastic Global Illumination....Pages 1-17 Verbalization of 3D Scenes Based on Natural Language Generation Techniques....Pages 19-39 Objects Description Exploiting User’s Sociality....Pages 41-59 Knowledge-Based Analysis and Synthesis of Virtual 3D Campus Infrastructure Models....Pages 61-78 On the Evaluation of the Combined Role of Virtual Reality Games and Animated Agents in Edutainment....Pages 79-95 Serious Games for Cultural Applications....Pages 97-115 Intuitive Method for Pedestrians in Virtual Environments....Pages 117-137 Pathfinding with Emotion Maps....Pages 139-155 Gait Evolution for Humanoid Robot in a Physically Simulated Environment....Pages 157-173 Techniques for Extracting and Modeling Geometric Features from Point Cloud Data Sets with Application to Urban Terrain Modeling....Pages 175-195 Back Matter....Pages - Blending theory with practice, this book brings together a variety of next-generation data technologies used to capture, integrate, analyze, mine, annotate and visualize distributed data in a manner that is meaningful and collaborative for the organization.
