The visualization toolkit : an object-oriented approach to 3-D graphics
Author(s)
Bibliographic Information
The visualization toolkit : an object-oriented approach to 3-D graphics
Prentice Hall PTR, 1996
Available at 8 libraries
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
The aim of this text is to strike a balance between practice and theory. The book goes beyond description and focuses on applicaton of visualization to real-world problems.
Table of Contents
(NOTE:All chapters include chapter summaries, bibliographic notes, references and Exercises.) 1. Introduction. What Is Visualization? Why Visualize? Imaging, Computer Graphics, and Visualization. Origins of Data Visualization. Purpose of This Book. What This Book is Not. Intended Audience. How to Use This Book. Software Considerations. Chapter-by-Chapter Overview. Legal Concerns. Acknowledgments. Bibliographic Notes. References. 2. Object-Oriented Design. Introduction. Goals of Good Software Design. Object-Oriented Concepts. Object-Oriented Terminology. Object-Oriented Modeling and Design. Object-Oriented Programming Languages. Object-Oriented Visualization. 3. Computer Graphics I. Introduction. Color. Lights. Actors and Their Interactions with Light. Cameras. Coordinate Systems. Coordinate Transformation. Actor Geometry. Graphics Hardware. Putting It All Together. 4. The Visualization Pipeline. Overview. The Visualization Pipeline. Pipeline Topology. Executing the Pipeline. Memory and Computation Trade-off. Programming Models. Putting It All Together. 5. Data Representation I. Introduction. The Dataset. Cell Types. Attribute Data. Data Sets. Other Data Abstractions. Putting It All Together. 6. Algorithms I. Introduction. Scalar Algorithms. Vector Algorithms. Tensor Algorithms. Modelling Algorithms. Putting It All Together. 7. Computer Graphics II. Stereo Rendering. Transparency and Alpha Values. Texture Mapping. Aliasing. Camera Tricks. Mouse Based Interaction. Volume Rendering. Putting It All Together. 8. Data Representation II. Coordinate Systems. Interpolation Functions. Coordinate Transformation. Computing Derivatives. Topological Operations. Searching. Cell / Line Intersection. Scalars and Colors. Special Techniques for Structured Points. Putting It All Together. 9. Algorithms II. Scalar Algorithms. Vector Algorithms. Tensor Algorithms. Modeling Algorithms. Putting It All Together. 10. Interpreters. Interpreted versus Compiled Languages. Introduction to Tcl. How vtk is Integrated with Tcl. Examples. User Interfaces with Tk. 11. Applications. 3-D Medical Imaging. Financial. Geometric Modeling. Computational Fluid Dynamics. Blow Molding. Algorithm Visualization. 12. Color Plates. Appendix A. Appendix B. Glossary.
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