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