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About this product
- DescriptionUntil recently, all of the interactions between objects in virtual 3D worlds have been based on calculations performed using linear algebra. Linear algebra relies heavily on coordinates, however, which can make many geometric programming tasks very specific and complex-often a lot of effort is required to bring about even modest performance enhancements. Although linear algebra is an efficient way to specify low-level computations, it is t a suitable high-level language for geometric programming. Geometric Algebra for Computer Science presents a compelling alternative to the limitations of linear algebra. Geometric algebra, or GA, is a compact, time-effective, and performance-enhancing way to represent the geometry of 3D objects in computer programs. In this book you will find an introduction to GA that will give you a strong grasp of its relationship to linear algebra and its significance for your work. You will learn how to use GA to represent objects and perform geometric operations on them. And you will begin mastering proven techniques for making GA an integral part of your applications in a way that simplifies your code without slowing it down.
- Author BiographyDaniel Fontijne holds a Master's degree in artificial Intelligence and a Ph.D. in Computer Science, both from the University of Amsterdam. His main professional interests are computer graphics, motion capture, and computer vision.
- Author(s)Daniel Fontijne,Leo Dorst,Stephen Mann
- PublisherElsevier Science & Technology
- Date of Publication26/03/2009
- SubjectComputing: General
- Series TitleThe Morgan Kaufmann Series in Computer Graphics
- Place of PublicationSan Francisco
- Country of PublicationUnited States
- ImprintMorgan Kaufmann Publishers In
- Content NoteApprox. 190 illustrations (200 in full color)
- Weight1760 g
- Width197 mm
- Height240 mm
- Spine41 mm
- Edition Statement2nd Revised edition
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