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Shadow Algorithms Data Miner

Shadow Algorithms Data Miner by Andrew Woo
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Preliminaries of Shadows
What’s Covered in This Chapter
Basic Concepts
Categories of Shadow Algorithms: Basic Ideas and Properties
Self-Shadowing
Considerations for Choosing an Algorithm

Hard Shadows
What’s Covered in This Chapter
Planar Receivers of Shadows
Shadow Depth Maps
Shadow Volumes
Ray Tracing
Other Hard Shadow Algorithms
Trends and Analysis

Supporting Shadows for Other Geometry Types
What’s Covered in This Chapter
Higher Order Surfaces
Image-Based Rendering for Impostors
Geometry Images
Particle Systems
Point Clouds
Voxels
Height Fields
Final Words

Soft Shadows
What’s Covered in This Chapter
Computing the Soft Shadow Integral
Soft Shadow Basics
Theoretical Aspects
Planar Receivers of Shadows
Shadow Depth Maps
Shadow Volumes
Ray Tracing
Other Soft Shadow Algorithms
Trends and Analysis

Other Treatments of Shadows
What’s Covered in This Chapter
Bump Mapping
Advanced Reflection Models
Semi-Transparent Surfaces
Highly Complex Thin Materials
Atmospheric Shadows
Motion Blur
Ambient Occlusion
Pre-Computed Radiance Transfer
Global Illumination
Final Words

Applications of Shadow Algorithms
What’s Covered in This Chapter
Augmented Reality: Integrating 2D Images with 3D Graphics
Non-Photorealistic Environments
Shadows as Interaction Tools
Final Words

Conclusions

CRC Press; June 2012
262 pages; ISBN 9781439880265
Read online, or download in secure PDF format
Title: Shadow Algorithms Data Miner
Author: Andrew Woo; Pierre Poulin
 
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