Graphics and Visualization: Principles and Algorithms

Machine learning is a relatively new branch of artificial intelligence. The field has undergone a significant period of growth in the 1990s, with many new areas of research and development being explored. In this text, the authors take a broad brush view of the field in an attempt to bring together many of the results that have been achieved, presenting a general taxonomy of the field and the various key representative algorithms "Graphics & Visualization is a comprehensive visual computing textbook, dealing with the modeling and synthesis of visual data by means of computers. It provides an integrated coverage of computer graphics and visualization topics, from basic theory to specialized techniques such as: subdivision and multi-resolution modeling; scene graphs; shadow generation; particle tracing and ambient occlusion; and scalar and vector data visualization." "Students and practitioners alike will benefit from the extensive coverage of the principles that are the basic tools of their trade, from fundamental computer graphics and classic visualization techniques to advanced topics."--BOOK JACKET

this Book Is A Comprehensive Introduction To Visual Computing, Dealing With The Modeling And Synthesis Of Visual Data By Means Of Computers. What Sets This Book Apart From Other Computer Graphics Texts Is The Integrated Coverage Of Computer Graphics And Visualization Topics, Including Important Techniques Such As Subdivision And Multi-resolution Modeling, Scene Graphs, Shadow Generation, Ambient Occlusion, And Scalar And Vector Data Visualization. Students And Practitioners Will Benefit From The Comprehensive Coverage Of The Principles That Are The Basic Tools Of Their Trade, From Fundamental Computer Graphics And Classic Visualization Techniques To Advanced Topics.