Artificial intelligence techniques for computer graphics
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Bibliographic Information
Artificial intelligence techniques for computer graphics
（Studies in computational intelligence, v. 159）
Springer, c2010
- : [pbk.]
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Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
1 Intelligent Techniques for Computer Graphics.- Synthesizing Human Motion from Intuitive Constraints.- 3 Motion Synthesis with Adaptation and Path Fitting.- 3D Object Retrieval: Inter-Class vs. Intra-Class.- Improving Light Position in a Growth Chamber through the Use of a Genetic Algorithm.- Constructive Path Planning for Natural Phenomena Modeling.- 7 Automatic Generation of Behaviors, Morphologies and Shapes of Virtual Entities.- 8 User Profiling from Imbalanced Data in a Declarative Scene Modelling Environment.- Collaborative Evaluation Using Multiple Clusters in a Declarative Design Environment.- OmniEye: A Spherical Omnidirectional Vision System to Sonify Robotic Trajectories in the AURAL Environment.- Fuzzy Logic and Genetic Algorithm Application for Multi Criteria Land Valorization in Spatial Planning.- Searching Multimedia Databases Using Tree-Structures Graphs.- Erratum to: Artificial Intelligence Techniques for Computer Graphics.
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