These lectures were recorded from Spring 2014's offering of ECSE-6969 at Rensselaer Polytechnic Institute. They accompany my textbook Computer Vision for Visual Effects, published by Cambridge University Press in Fall 2012. See more information at http://cvfxbook.com.

You may also be interested in my annotated course lectures for Introduction to Image Processing and Digital Signal Processing.

Lecture 1: Overview of Computer Vision and Visual Effects

Lecture 2: Bluescreen and Bayesian matting

Lecture 3: Closed-form matting

Lecture 4: MRF and Random Walk Matting

Lecture 5: Graph cut segmentation, video matting, and matting extensions

Lecture 6: Multiresolution blending and Poisson image editing

Lecture 7: Photomontage and Image Inpainting

Lecture 8: Image Retargeting and Recompositing

Lecture 9: Feature detectors

Lecture 10: Feature descriptors

Lecture 11: Feature evaluation and use

Lecture 12: Parametric Transformations and Scattered Data Interpolation

Lecture 13: Optical Flow

Lecture 14: Epipolar Geometry

Lecture 15: Stereo correspondence

Lecture 16: Video matching, morphing, and view synthesis

Lecture 17: Image formation and single-camera calibration

Lecture 18: Stereo rig calibration and projective reconstruction

Lecture 19: Euclidean reconstruction and bundle adjustment

Lecture 20: Motion capture setup and forward kinematics

Lecture 21: Inverse kinematics and motion editing

Lecture 22: Facial and markerless motion capture

Lecture 23: LiDAR and time-of-flight sensing

Lecture 24: Structured light scanning

Lecture 25: Multiview stereo

Lecture 26: 3D features and registration

Computer Vision for Visual Effects by Rich Radke is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Based on a work at http://www.ecse.rpi.edu/~rjradke/cvfxcourse.html.
Permissions beyond the scope of this license may be available at this contact page.