Physically Based Rendering

From Theory to Implementation

3rd Edition - September 30, 2016

Authors: Matt Pharr, Wenzel Jakob, Greg Humphreys

Hardback ISBN:

9 7 8 - 0 - 1 2 - 8 0 0 6 4 5 - 0

eBook ISBN:

9 7 8 - 0 - 1 2 - 8 0 0 7 0 9 - 9

Physically Based Rendering: From Theory to Implementation, Third Edition, describes both the mathematical theory behind a modern photorealistic rendering system and its practical… Read more

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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.

Cover image
Title page
Table of Contents
Copyright
Dedication
About the Authors
Preface
Audience
Overview and goals
Changes between the first and second editions
Changes between the second and third editions
Acknowledgments
About the cover
Additional reading
01: Introduction
1.1: Literate programming
1.2: Photorealistic rendering and the ray-tracing algorithm
1.3: pbrt: System overview
1.4: Parallelization of pbrt
1.5: How to proceed through this book
1.6: Using and understanding the code
1.7: A brief history of physically based rendering
Further reading
Exercise
02: Geometry and Transformations
2.2: Vectors
2.3: Points
2.4: Normals
2.5: Rays
2.6: Bounding boxes
2.7: Transformations
2.8: Applying transformations
2.9: Animating transformations
2.10: Interactions
Further reading
Exercises
03: Shapes
3.1: Basic shape interface
3.2: Spheres
3.3: Cylinders
3.4: Disks
3.5: Other quadrics
3.6: Triangle meshes
* 3.7: Curves
*3.8: Subdivision surfaces
* 3.9: Managing rounding error
Further reading
Exercises
04: Primitives and Intersection Acceleration
4.1: Primitive interface and geometric primitives
4.2: Aggregates
4.3: Bounding volume hierarchies
4.4: Kd-tree accelerator
Further reading
Exercises
05: Color and Radiometry
5.1: Spectral representation
5.2: The sampledSpectrum class
5.3: RGBSpectrum implementation
5.4: Radiometry
5.5: Working with radiometric integrals
5.6: Surface reflection
Further reading
Exercises
06: Camera Models
6.1: Camera model
6.2: Projective camera models
6.3: Environment camera
*6.4: Realistic cameras
Further reading
Exercises
07: Sampling and Reconstruction
7.1: Sampling theory
7.2: Sampling interface
7.3: Stratified sampling
* 7.4: The halton sampler
⋆7.5: (0, 2)-Sequence sampler
⋆7.6: Maximized minimal distance sampler
⋆7.7: Sobol’ sampler
7.8: Image reconstruction
7.9: Film and the imaging pipeline
FURTHER READING
Exercises
08: Reflection Models
8.1: Basic interface
8.2: Specular reflection and transmission
8.3: Lambertian reflection
8.4: Microfacet models
8.5: Fresnel incidence effects
8.6: Fourier basis BSDFs
8.6.1: Spline interpolation
Further reading
Exercises
09: Materials
9.1: BSDFs
9.2: Material interface and implementations
9.3: Bump mapping
Further reading
Exercises
10: Texture
10.1: Sampling and antialiasing
10.2: Texture coordinate generation
10.3: Texture interface and basic textures
10.4: Image texture
10.5: Solid and procedural texturing
10.6: Noise
Further reading
Exercises
11: Volume Scattering
11.1: Volume scattering processes
11.2: Phase functions
11.3: Media
11.4: The bssrdf
Further reading
Exercises
12: Light Sources
12.1: Light emission
12.2: Light interface
12.3: Point lights
12.4: Distant lights
12.5: Area lights
12.6: Infinite area lights
Further reading
Exercises
13: Monte Carlo Integration
13.1: Background and probability review
13.2: The monte carlo estimator
13.3: Sampling random variables
*13.4: Metropolis sampling
13.5: Transforming between distributions
13.6: 2D Sampling with multidimensional transformations
13.7: Russian roulette and splitting
13.8: Careful sample placement
13.9: Bias
13.10: Importance sampling
Further reading
Exercises
14: Light Transport I: Surface Reflection
14.1: Sampling reflection functions
14.2: Sampling light sources
14.3: Direct lighting
14.4: The light transport equation
14.5: Path tracing
Further reading
Exercises
15: Light Transport II: Volume Rendering
15.1: The equation of transfer
15.2: Sampling volume scattering
15.3: Volumetric light transport
*15.4: Sampling subsurface reflection functions
*15.5: Subsurface scattering using the diffusion equation
Further reading
Exercises
*16: Light Transport III: Bidirectional Methods
16.1: The path-space measurement equation
16.2: Stochastic progressive photon mapping
16.3: Bidirectional path tracing
16.4: Metropolis light transport
Further reading
Exercises
17: Retrospective and the Future
17.1: Design retrospective
17.2: Alternative hardware architectures
17.3: Conclusion
A: Utilities
A.1: Main include file
A.2: Image file input and output
A.3: Communicating with the user
A.4: Memory management
A.5: Mathematical routines
A.6: Parallelism
A.7: Statistics
Further reading
Exercises
B: Scene Description Interface
B.1: Parameter sets
B.2: Initialization and rendering options
B.3: Scene definition
B.4: Adding new object implementations
Further reading
Exercises
C: Index of Fragments
D: Index of Classes and their Members
E: Index of Miscellaneous Identifiers
References
Subject Index
Physically Based Rendering
From Theory to Implementation