TitleArtificial Intelligence Techniques for Computer Graphics 1st edition by Dimitri Plemenos, Georgios Miaoulis – Ebook PDF Instant Download/Delivery. 3642098843 978-3642098840
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Product details:
ISBN 10: 3642098843
ISBN 13: 978-3642098840
Author: Dimitri Plemenos, Georgios Miaoulis
The purpose of this volume is to present current work of the Intelligent Computer Graphics community, a community growing up year after year. Indeed, if at the beg- ning of Computer Graphics the use of Artificial Intelligence techniques was quite unknown, more and more researchers all over the world are nowadays interested in intelligent techniques allowing substantial improvements of traditional Computer Graphics methods. The other main contribution of intelligent techniques in Computer Graphics is to allow invention of completely new methods, often based on automation of a lot of tasks assumed in the past by the user in an imprecise and (human) time consuming manner. The history of research in Computer Graphics is very edifying. At the beginning, due to the slowness of computers in the years 1960, the unique research concern was visualisation. The purpose of Computer Graphics researchers was to find new visua- sation algorithms, less and less time consuming, in order to reduce the enormous time required for visualisation. A lot of interesting algorithms were invented during these first years of research in Computer Graphics. The scenes to be displayed were very simple because the computing power of computers was very low. So, scene modelling was not necessary and scenes were designed directly by the user, who had to give co-ordinates of vertices of scene polygons.
TitleArtificial Intelligence Techniques for Computer Graphics 1st Table of contents:
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Introduction to AI in Computer Graphics
- Overview of Artificial Intelligence
- The Role of AI in Computer Graphics
- AI and Graphics Applications
- Brief History and Evolution of AI Techniques in Graphics
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Fundamentals of Computer Graphics
- Basic Principles of Computer Graphics
- 2D and 3D Graphics Representation
- Rendering and Shading Techniques
- Geometry and Transformations
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Artificial Intelligence and Problem Solving
- Problem-Solving Strategies in AI
- Search Algorithms and Optimization
- Heuristic Search Methods
- Planning and Decision Making
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AI Techniques in 3D Modeling
- Procedural Generation of 3D Models
- Shape Recognition and Reconstruction
- AI for Mesh Generation and Simplification
- Automated Texture Mapping and UV Unwrapping
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Artificial Intelligence in Animation and Simulation
- AI for Character Animation
- Motion Planning and Pathfinding Algorithms
- Physics-Based Simulations using AI
- Machine Learning for Realistic Animation
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AI in Rendering and Image Synthesis
- AI for Image Enhancement and Filtering
- Deep Learning for Image Synthesis
- AI Techniques in Real-Time Rendering
- Neural Networks for Lighting and Shading
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Machine Learning in Computer Graphics
- Supervised vs. Unsupervised Learning in Graphics
- Deep Learning Models for Image Generation
- Neural Networks and Style Transfer
- AI for Texture Synthesis and Inpainting
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AI for Scene Generation and Understanding
- Scene Recognition and Object Detection
- Scene Graphs and AI-Driven Scene Layout
- Intelligent Scene Composition
- AI for Environmental Simulation
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Interactive Graphics and Virtual Reality
- AI in Virtual Reality and Augmented Reality
- AI for Human-Computer Interaction
- Gesture Recognition and Natural User Interfaces
- Autonomous Agents in Virtual Environments
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Ethics, Challenges, and Future of AI in Computer Graphics
- Ethical Considerations in AI-Driven Graphics
- Challenges in AI-Based Graphics Techniques
- Future Trends in AI and Graphics Integration
- AI and the Democratization of Graphics Creation
Appendices
- A. Mathematical Foundations for AI in Graphics
- B. Algorithms and Pseudocode for AI Techniques
- C. Software Tools and Libraries for AI and Graphics
- D. Further Reading and Resources
Glossary
- Common Terminology in AI and Computer Graphics
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