Monday, Wednesday 5:00 - 6:20 pm
Center Hall 119
Note that this Syllabus is tentative & subject to change
Week | Date | Lec # | Lecture |
---|---|---|---|
1 | 10/2 | 1 | Intro to Computer Vision, RS. 1-18 |
1 | 10/4 | 2 | Human Visual System |
2 | 10/9 | 3 | Rigid Transformatoins SE(3), SO(3), Camera & Lenses, F&P Sec. 2.1, F&P Chap. 1, RS. 29-45, Linear algebra review |
2 | 10/11 | 4 | Perspective, Affine, orthographic projection, F&P 2.2, 2.3, RS. 46-59 |
3 | 10/16 | 5 | Radiometry (Irradiance, Radiance, BRDF), F&P Chapter 4; Supplemental reading Glassner Chapter 13 (requires campus network connection) |
3 | 10/18 | 6 | Photometric stereo RS 580-583 |
4 | 10/23 | 7 | Filtering |
4 | 10/25 | 8 | Edges |
5 | 10/30 | 9 | Stereo I:Epipolar Constraint and Stereo I, F&P Sec. 10.1, RS 530-544 |
5 | 11/1 | 10 | Stereo II: Machine |
6 | 11/6 | 11 | Stereo III, Dynamic Programming, Chapter 11, 545-548, 552-556 |
6 | 11/8 | 12 | Model fitting, Chapter 10 |
7 | 11/13 | 13 | Optical Flow, Trucco and Verri, pp. 178-194, RS 4381-414 |
7 | 11/15 | 14 | Infinitesimal structure from Motion, Trucco and Verri pp. 195-202, 208-211 |
8 | 11/20 | 15 | Tracking, F&P Chap.17, RS 235-237, 282-284, 551-552, 605-609 |
9 | 11/27 | 16 | Recognition & Statistical Pattern Recognition, F&P 22.1-22.3 |
9 | 11/29 | 17 | Deep Networks 1 |
10 | 12/4 | 18 | Deep Networks 2 |
10 | 12/6 | 19 | Color; F&P, Chap. 6, RS 8-89, Some on-line sources include: Basics of Color, A FAQ on Color |
Resources Course webpage of the last time this class was taught by Kriegman fa13 Linear algebra review Random variables review Sample Final Questions |