1. Introduction
1.1. Computer Vision for Visual Effects
1.2. This Book’s Organization
1.3. BACKGROUND AND PREREQUISITES
1.4. Acknowledgments
2. ImageMatting
2.1. Matting Terminology
2.2. Blue-Screen, Green-Screen, and Difference Matting
2.3. Bayesian Matting
2.4. Closed-Form Matting
2.5. Markov Random Fields for Matting
2.6. Random-Walk Methods
2.7. Poisson Matting
2.8. Hard-Segmentation-Based Matting
2.9. Video Matting
2.10. Matting Extensions
2.11. Industry Perspectives
2.12. NOTES AND EXTENSIONS
2.13. Homework Problems
3. Image Compositing and Editing
3.1. Compositing Hard-Edged Pieces
3.2. Poisson Image Editing
3.3. Graph-Cut Compositing
3.4. Image Inpainting
3.5. Image Retargeting and Recompositing
3.6. Video Recompositing, Inpainting, and Retargeting
3.7. Industry Perspectives
3.8. Notes and Extensions
3.9. Homework Problems
4. Features and Matching
4.1. Feature Detectors
4.2. Feature Descriptors
4.3. Evaluating Detectors and Descriptors
4.4.COLOR DETECTORS AND DESCRIPTORS
4.5. Artificial Markers
4.6. Industry Perspectives
4.7. Notes and Extensions
4.8. Homework Problems
5. Dense Corresppondence and Its Application
5.1. Affine and Projective Transformations
5.2. Scattered Data Interpolation
5.3. Optical Flow
5.4. Epipolar Geometry
5.5. Stereo Correspondence
5.6. Video Matching
5.7. Morphing
5.8. View Synthesis
5.9. Industry Perspectives
5.10. Notes and Extensions
5.11. Homework Problems
6. Matchmoving
6.1. Feature Tracking for Matchmoving
6.2. Camera Parameters and Image Formation
6.3. Single-Camera Calibration
6.4. Stereo Rig Calibration
6.5. Image Sequence Calibration
6.6. Extensions of Matchmoving
6.7. Industry Perspectives
6.8. Notes and Extensions
6.9. Homework Problems
7. Motion Capture
7.1. The Motion Capture Environment
7.2. Marker Acquisition and Cleanup
7.3. Forward Kinematics and Pose Parameterization
7.4. Inverse Kinematics
7.5. Motion Editing
7.6. Facial Motion Capture
7.7. Markerless Motion Capture
7.8. Industry Perspectives
7.9. Notes and Extensions
7.10. Homework Problems
8. Three-Dimensional Data Acquisition
8.1. Light Detection and Ranging (LiDAR)
8.2. Structured Light Scanning
8.3. Multi-View Stereo
8.4. Registering 3D Datasets
8.5. Industry Perspectives
8.6. Notes and Extensions
8.7. Homework Problems
reference
1. Official website
Computer Vision for Visual Effects | Richard J. Radke, Cambridge University Press, 2012