Physically Based Rendering
Autor: | Matt Pharr, Wenzel Jakob, Greg Humphreys |
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EAN: | 9780128007099 |
eBook Format: | PDF/ePUB |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 30.09.2016 |
Untertitel: | From Theory to Implementation |
Kategorie: | |
Schlagworte: | coordinate systems literate programming photorealistic rendering radiometry vector |
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Physically Based Rendering: From Theory to Implementation, Third Edition, describes both the mathematical theory behind a modern photorealistic rendering system and its practical implementation. Through a method known as 'literate programming', the authors combine human-readable documentation and source code into a single reference that is specifically designed to aid comprehension. The result is a stunning achievement in graphics education. Through the ideas and software in this book, users will learn to design and employ a fully-featured rendering system for creating stunning imagery. This completely updated and revised edition includes new coverage on ray-tracing hair and curves primitives, numerical precision issues with ray tracing, LBVHs, realistic camera models, the measurement equation, and much more. It is a must-have, full color resource on physically-based rendering. - Presents up-to-date revisions of the seminal reference on rendering, including new sections on bidirectional path tracing, numerical robustness issues in ray tracing, realistic camera models, and subsurface scattering - Provides the source code for a complete rendering system allowing readers to get up and running fast - Includes a unique indexing feature, literate programming, that lists the locations of each function, variable, and method on the page where they are first described - Serves as an essential resource on physically-based rendering
Matt Pharr is a Software Engineer at Google. He previously co-founded Neoptica, which was acquired by Intel, and co-founded Exluna, which was acquired by NVIDIA. He has a B.S. degree from Yale and a Ph.D. from the Stanford Graphics Lab, where he worked under the supervision of Pat Hanrahan.
Matt Pharr is a Software Engineer at Google. He previously co-founded Neoptica, which was acquired by Intel, and co-founded Exluna, which was acquired by NVIDIA. He has a B.S. degree from Yale and a Ph.D. from the Stanford Graphics Lab, where he worked under the supervision of Pat Hanrahan.