Computer Vision for Visual Effects Lectures Spring 2014

The lectures accompany the textbook Computer Vision for Visual Effects, published by Cambridge University Press in Fall 2012.

http://cvfxbook.com

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