CS5670 Lectures, Spring 2022
Many of the following slides are modified from
the excellent class notes of similar courses offered in other schools by Prof
Yung-Yu Chuang,
Fredo Durand,
Alexei Efros,
William Freeman,
James Hays,
Svetlana Lazebnik,
Andrej Karpathy,
Fei-Fei Li,
Srinivasa Narasimhan,
Silvio Savarese,
Steve Seitz,
Richard Szeliski, and Li Zhang. The
instructor is extremely thankful to the researchers for making their notes
available online. Please feel free to use and modify any of the slides, but
acknowledge the original sources where appropriate.
This schedule is tentative.
All dates for lectures and unreleased assignments and homeworks are provisional.
| Class
| Date
| Topic/notes
| Readings
| Assignments, etc.
|
| |
January |
| 0 |
25 |
Introduction and Overview [ppt|pdf]
 |
Szeliski 1 |
|
| 1 |
27 |
Image filtering [ppt|pdf]
 |
Szeliski 3.1 |
|
| |
February |
| 2 |
1 |
Image filtering and edge detection [ppt|pdf]
 |
Szeliski 3.2 |
PA1 Released |
| 3 |
3 |
Image Resampling[ppt|pdf]
 |
Szeliski 3.4, 2.3.1 |
|
| 4 |
8 |
Feature Detection [ppt|pdf]
 |
Szeliski 4.1 |
|
| 5 |
10 |
Feature Invariance[ppt|pdf]
|
Szeliski 4.1 |
PA1 due on Friday, Feb 11 |
| 6 |
15 |
Feature Descriptors and Feature Matching [ppt|pdf]
 |
Szeliski 4.1 |
PA2 Released |
| 7 |
17 |
Image Transformations [ppt|pdf]
 |
Szeliski 3.6 |
|
| 8 |
22 |
Image Alignment [ppt|pdf]
 |
Szeliski 6.1 |
PA2 due on Wednesday, Feb 23 |
| 9 |
24 |
RANSAC [ppt|pdf]
 |
Szeliski 6.1 |
|
| |
March |
| 10 |
3 |
Cameras [ppt|pdf]
 |
Szeliski 2.1.3-2.1.6 |
Take-home midterm exam release; |
| 11 |
8 |
Panoramas [ppt|pdf]
 |
Szeliski 9 |
PA3 Released.
Take-home midterm exam due on Wednesday, Mar 9; |
| 12 |
15 |
Single-view Modeling [ppt|pdf]
 |
Szeliski 9 |
|
| 13 |
17 |
Stereo [ppt|pdf]
 |
Szeliski 7 |
PA3 due on Friday, Mar 18 |
| 14 |
22 |
Light & Perception [ppt|pdf]
|
Szeliski 7.2 |
|
| 15 |
24 |
Photometric Stereo [ppt|pdf]
|
Szeliski 7.1-7.4 |
|
| 16 |
24 |
Multiview Stereo [ppt|pdf]
 |
Szeliski 11.6 |
PA4 Released |
| 17 |
29 |
Two-view Geometry[ppt|pdf]
 |
Szeliski 7.2 |
|
| 18 |
31 |
Structure from Motion[ppt|pdf]
 |
Szeliski 12 |
PA4 due on Friday, April 1 |
| |
April |
| 19 |
12 |
Introduction to Recognition [ppt|pdf] |
CS 231N |
|
| 20 |
14 |
Image Classification [ppt|pdf] |
CS 231N |
|
| 21 |
19 |
Convolutional Neural Networks I [ppt|pdf] |
CS 231N |
|
| 22 |
26 |
Neural Rendering and Neural Radiance Fields [ppt|pdf] |
CS 231N |
|
| 23 |
28 |
Convolutional Neural Networks II [ppt|pdf] |
CS 231N |
PA5 Released |
| |
May |
| 24 |
3 |
Generative Adversarial Networks [ppt|pdf] |
|
PA5 due on Wednesday, May 4 |
| 25 |
5 |
Computer Vision, Ethics, and Society [ppt|pdf] |
|
|
| 26 |
5 |
Course review [ppt|pdf] |
|
|
| 27 |
10 |
In-class final exam |
|
|
| |
|
|
|