There is some redundancy in the course material: The Videos below were recorded during the COVID pandemic, and correspond to topics and coverage only approximately.
In-person lectures are recorded on Panopto.
The notes below (n_01, ...) 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.
There will be approximately five homework assignments in addition to Homework 0, which is on prerequisites. Assignments will be posted on the homework page.
| Topic | Notes | Slides | Videos | HW Due | |
|---|---|---|---|---|---|
| 0 | Course Content and Logistics | — | s_0 | — | Jan 19 |
| 1 | Correlation, Convolution, Filtering | n_01 | s_01 | v_01 | |
| 2 | Image Differentiation and Pyramids | n_02 | s_02 | v_02 | |
| 3 | Numerical Function Optimization | n_03 | s_03 | v_03 | |
| 4 | Deep Learning Basics | n_04 | s_04 | v_04 | |
| 5 | Backprop, Networks for Recognition | n_05 | s_05 | v_05 | |
| 6 | Linear Algebra Refresher | n_06 | s_06 | v_06 | |
| 7 | Image Motion and Window Tracking | n_07 | s_07 | v_07 |
| March 9: Midterm Exam on topics 1-5 (not 6 or 7) |
| 8 | Networks for Flow and Segmentation | n_08 | s_08 | v_08 | |
| 9 | Rigid Transformations, Pinhole Camera | n_09 | s_09 | v_09 | |
| 10 | Epipolar Geometry, 8-Point Algorithm | n_10 | s_10 | v_10 | |
| 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