Lecture Notes
Most readings are from the book Computer Vision: Algorithms and Applications by Richard Szeliski.
Lect |
Dates |
Title |
Resources |
01 |
Thu, Jan 25 |
Course Introduction |
|
02 |
Tue, Jan 30 |
Perception for Robots |
Image formation, Projective geometry |
03 |
Thu, Feb 1 |
Correlation and Convolution |
|
04 |
Tue, Feb 6 |
Texture |
|
05 |
Thu, Feb 8 |
Edges |
|
06 |
Tue, Feb 13 |
Projective Geometry |
|
07 |
Thu, Feb 15 |
Projective Geometry |
|
08 |
Tue, Feb 20 |
Features: SIFT |
|
09 |
Thu, Feb 22 |
Features: SIFT |
|
10 |
Tue, Feb 27 |
Stereopsis |
|
11 |
Thu, Mar 01 |
Stereopsis |
|
12 |
Tue, Mar 06 |
Image Motion |
|
13 |
Thu, Mar 08 |
3D Motion Estimaton |
|
14 |
Tue, Mar 13 |
Epipolar Geometry |
|
15 |
Thu, Mar 15 |
Epipolar Geometry (contd.) |
|
- |
Tue, Mar 20 |
Spring Break |
|
- |
Thu, Mar 22 |
Spring Break |
|
16 |
Tue, Mar 27 |
|
|
17 |
Thu, Mar 29 |
|
|
18 |
Tue, Apr 03 |
Recognition |
|
19 |
Thu, Apr 05 |
Recognition (cont'd) |
|
20 |
Tue, Apr 10 |
Recognition (cont'd) |
|
21 |
Thu, Apr 12 |
Recognition (cont'd) |
|
22 |
Tue, Apr 17 |
|
|
23 |
Thu, Apr 19 |
Recognition (cont'd) |
|
24 |
Tue, Apr 24 |
Final Project Overview |
|
25 |
Thu, Apr 26 |
|
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