Physically Based Rendering: From Theory To Implementation

Matt Pharr

ISBN 10: 0123750792 / ISBN 13: 9780123750792

Published by Morgan Kaufmann, 2010

About this Item

Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Seller Inventory # M00123750792-G

Bibliographic Details

• Title: Physically Based Rendering: From Theory To Implementation
• Publisher: Morgan Kaufmann
• Publication Date: 2010
• Language: English
• ISBN 10: 0123750792
• ISBN 13: 9780123750792
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: good

About this title

Synopsis

Physically Based Rendering, 2nd 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. 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. Please visit, www.pbrt.org. Code and text are tightly woven together through a unique indexing feature

About the Authors

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.

Greg Humphreys is Director of Engineering at FanDuel, having previously worked on the Chrome graphics team at Google and the OptiX GPU raytracing engine at NVIDIA. Before that, he was a professor of Computer Science at the University of Virginia, where he conducted research in both high performance and physically based computer graphics, as well as computer architecture and visualization. Greg has a B.S.E. degree from Princeton, and a Ph.D. in Computer Science from Stanford under the supervision of Pat Hanrahan. When he's not tracing rays, Greg can usually be found playing tournament bridge.