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CVFX Lecture 4: Markov Random Field (MRF) and Random Walk Matting
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Classroom Contents
Computer Vision for Visual Effects Lectures Spring 2014
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- 1 CVFX Lecture 1: Overview of Computer Vision and Visual Effects
- 2 CVFX Lecture 2: Bluescreen and Bayesian matting
- 3 CVFX Lecture 3: Closed-form matting
- 4 CVFX Lecture 4: Markov Random Field (MRF) and Random Walk Matting
- 5 CVFX Lecture 5: Graph cut segmentation, video matting, and matting extensions
- 6 CVFX Lecture 6: Multiresolution blending and Poisson image editing
- 7 CVFX Lecture 7: Photomontage and Image Inpainting
- 8 CVFX Lecture 8: Image Retargeting and Recompositing
- 9 CVFX Lecture 9: Feature Detectors
- 10 CVFX Lecture 10: Feature descriptors
- 11 CVFX Lecture 11: Feature evaluation and use
- 12 CVFX Lecture 12: Parametric Transformations and Scattered Data Interpolation
- 13 CVFX Lecture 13: Optical flow
- 14 CVFX Lecture 14: Epipolar geometry
- 15 CVFX Lecture 15: Stereo correspondence
- 16 CVFX Lecture 16: Video matching, morphing, and view synthesis
- 17 CVFX Lecture 17: Image formation and single-camera calibration
- 18 CVFX Lecture 18: Stereo rig calibration and projective reconstruction
- 19 CVFX Lecture 19: Euclidean reconstruction and bundle adjustment
- 20 CVFX Lecture 20: Motion capture setup and forward kinematics
- 21 CVFX Lecture 21: Inverse kinematics and motion editing
- 22 CVFX Lecture 22: Facial and markerless motion capture
- 23 CVFX Lecture 23: LiDAR and time-of-flight sensing
- 24 CVFX Lecture 24: Structured light scanning
- 25 CVFX Lecture 25: Multiview stereo
- 26 CVFX Lecture 26: 3D features and registration
