| Class
| Date
| Topic/notes
| Readings
| Assignments, etc.
|
| |
January |
| 0 |
24 |
Introduction and Overview [ppt|pdf]
 |
Szeliski (2nd Edition) 1 |
|
| 1 |
26 |
Image filtering [ppt|pdf]
 |
Szeliski 3.1 - 3.3 |
|
| 2 |
31 |
Image filtering and edge detection [ppt|pdf]
 |
Szeliski 3.1-3.3, 7.2 |
PA1 Released |
| |
February |
| 3 |
2 |
Image Resampling[ppt|pdf]
 |
Szeliski 2.3.1, 3.4-3.5 |
|
| 4 |
7 |
Feature Detection [ppt|pdf]
 |
Szeliski 7.1 |
|
| 5 |
9 |
Feature Invariance[ppt|pdf]
|
Szeliski 7.1 |
PA1 due on Friday, Feb 11 |
| 6 |
14 |
Feature Descriptors and Feature Matching [ppt|pdf]
 |
Szeliski 7.1 |
PA2 Released |
| 7 |
16 |
Image Transformations [ppt|pdf]
 |
Szeliski 3.6 |
|
| 8 |
21 |
Image Alignment [ppt|pdf]
 |
Szeliski 6.1 |
PA2 due on Wednesday, Feb 23 |
| 9 |
23 |
RANSAC [ppt|pdf]
 |
Szeliski 6.1 |
|
| |
March |
| 10 |
2 |
Cameras [ppt|pdf]
 |
Szeliski 2.1.3-2.1.6 |
Take-home midterm exam release; |
| 11 |
7 |
Panoramas [ppt|pdf]
 |
Szeliski 8 |
PA3 Released.
Take-home midterm exam due in class; |
| 12 |
9 |
Single-view Modeling [ppt|pdf]
 |
Szeliski 11.1
Mundy and Zisserman,
Geometric Invariance in Computer Vision
(read 23.1-23.5, 23.10) |
|
| 13 |
14 |
Stereo [ppt|pdf]
 |
Szeliski 12.3-12.5 |
PA3 due on Friday, Mar 17 |
| 14 |
16 |
Light & Perception [ppt|pdf]
|
Szeliski 2.2 |
|
| 15 |
21 |
Photometric Stereo [ppt|pdf]
|
Szeliski 2.2 and 13.1 |
PA4 Released |
| 16 |
23 |
Multiview Stereo [ppt|pdf]
 |
Szeliski 12.7 |
|
| 17 |
28 |
Two-view Geometry[ppt|pdf]
 |
Szeliski 11.3 and 12.1 |
|
| 18 |
30 |
Structure from Motion[ppt|pdf]
 |
Szeliski 11.4 |
PA4 due on Friday, March 31 |
| |
April |
| 19 |
11 |
Introduction to Recognition [ppt|pdf] |
Szeliski 5.1 |
|
| 20 |
13 |
Image Classification [pdf] |
Szeliski 5.1, 5.3, 6.2 |
|
| 21 |
18 |
Convolutional Neural Networks I [pdf] |
Szeliski 5.3, 5.4 |
|
| 22 |
20 |
Inverse Graphics and Neural Radiance Fields [ppt|pdf] |
Szeliski 14.6 |
PA5 Released |
| 23 |
25 |
Training Deep Networks [ppt|pdf] |
CS 231N |
|
| 24 |
27 |
Computer Vision, Ethics, and Society [ppt|pdf] |
FATE Tutorial |
|
| |
May |
| 25 |
2 |
Image Generation [ppt|pdf] |
|
|
| 26 |
5 |
Diffusion Models [ppt|pdf] and Course Review [ppt|pdf] |
|
|
| 27 |
9 |
In-class final exam |
|
|
| |
|