Physically Based Rendering
From Theory to Implementation
Nonfiction, Computers, Application Software, Computer Graphics, General Computing
| Author: | Matt Pharr, Greg Humphreys | ISBN: | 9780123785800 |
| Publisher: | Elsevier Science | Publication: | September 28, 2004 |
| Imprint: | Morgan Kaufmann | Language: | English |
| Author: | Matt Pharr, Greg Humphreys |
| ISBN: | 9780123785800 |
| Publisher: | Elsevier Science |
| Publication: | September 28, 2004 |
| Imprint: | Morgan Kaufmann |
| Language: | English |
Physically Based Rendering, Second Edition, describes both the mathematical theory behind a modern photorealistic rendering system as well as its practical implementation.
A method known as literate programming combines 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, you will learn to design and employ a full-featured rendering system for creating stunning imagery.
This new edition greatly refines its best-selling predecessor by streamlining all obsolete code as well as adding sections on parallel rendering and system design; animating transformations; multispectral rendering; realistic lens systems; blue noise and adaptive sampling patterns and reconstruction; measured BRDFs; and instant global illumination, as well as subsurface and multiple-scattering integrators.
These updates reflect the current state-of-the-art technology, and along with the lucid pairing of text and code, ensure the book's leading position as a reference text for those working with images, whether it is for film, video, photography, digital design, visualization, or gaming.
- The book that won its authors a 2014 Academy Award for Scientific and Technical Achievement from the Academy of Motion Picture Arts and Sciences
- New sections on subsurface scattering, Metropolis light transport, precomputed light transport, multispectral rendering, and much more
- Includes a companion site complete with source code for the rendering system described in the book, with support for Windows, OS X, and Linux: visit www.pbrt.org
- Code and text are tightly woven together through a unique indexing feature that lists each function, variable, and method on the page that they are first described
Physically Based Rendering, Second Edition, describes both the mathematical theory behind a modern photorealistic rendering system as well as its practical implementation.
A method known as literate programming combines 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, you will learn to design and employ a full-featured rendering system for creating stunning imagery.
This new edition greatly refines its best-selling predecessor by streamlining all obsolete code as well as adding sections on parallel rendering and system design; animating transformations; multispectral rendering; realistic lens systems; blue noise and adaptive sampling patterns and reconstruction; measured BRDFs; and instant global illumination, as well as subsurface and multiple-scattering integrators.
These updates reflect the current state-of-the-art technology, and along with the lucid pairing of text and code, ensure the book's leading position as a reference text for those working with images, whether it is for film, video, photography, digital design, visualization, or gaming.
- The book that won its authors a 2014 Academy Award for Scientific and Technical Achievement from the Academy of Motion Picture Arts and Sciences
- New sections on subsurface scattering, Metropolis light transport, precomputed light transport, multispectral rendering, and much more
- Includes a companion site complete with source code for the rendering system described in the book, with support for Windows, OS X, and Linux: visit www.pbrt.org
- Code and text are tightly woven together through a unique indexing feature that lists each function, variable, and method on the page that they are first described
