There is some redundancy in the course material: The Videos below are pre-recorded compressed versions of the in-person lectures, which are also recorded on Panopto. However, the notes are the official reference material for the course.
The slides used in class are similar but not identical to those used in the topic videos. They are provided only for convenience below. They are not required reading. Slides should not be used as your main study materials as they are merely lecture props. They are not meant to convey concepts or material by themselves, and are not self-explanatory.
You may want to get a head start on homework 0, on prerequisites, available on the homework page.
| Topic | Notes | Slides | Videos | HW Due | |
|---|---|---|---|---|---|
| 0 | Course Content and Logistics | — | s_0 | — | Jan 13 |
| 1 | Correlation, Convolution, Filtering | n_01 | s_01 | v_01 | Jan 20 |
| 2 | Image Differentiation and Pyramids | n_02 | s_02 | v_02 | Jan 27 |
| 3 | Numerical Function Optimization | n_03 | s_03 | v_03 | Feb 10 |
| 4 | Deep Learning Basics | n_04 | s_04 | v_04 | — |
| 5 | Backprop, Networks for Recognition | n_05 | s_05 | v_05 | Feb 17 |
| 6 | Linear Algebra Refresher | n_06 | s_06 | v_06 | Mar 3 |
| February 24: Midterm Exam on topics 1-5 (not 6) |
| 7 | Image Motion and Window Tracking | n_07 | s_07 | v_07 | Mar 24 |
| 8 | Networks for Flow and Segmentation | n_08 | s_08 | v_08 | — |
| 9 | Rigid Transformations, Pinhole Camera | n_09 | s_09 | v_09 | Mar 31 |
| 10 | Epipolar Geometry, 8-Point Algorithm | n_10 | s_10 | v_10 | Apr 7 |
| 11 | Real Cameras and their Calibration | n_11 | s_11 | v_11 | — |
| 12 | Closing Thoughts | — | s_12 | — | — |
COMPSCI 527, Duke University, Site based on the fluid 960 grid system