| Lecture | Session | Date (Irregular lectures are highlighted) |
Day of the week | Module | Description | Guest Instructor | Course Materials (Available one day before lectures) |
Assignments |
| 1 | 2016.09.27 | T | Introduction | Introduction to Computer Vision | slides | HW0-release | ||
| 2 | 2016.09.29 | Th | Linear Algebra Primer | slides | ||||
| 3 | 2016.10.04 | T | MATLAB Tutorial | Lucas Liu | Matlab Tutorial | |||
| 2016.10.05 5-6pm Gates 219 | W | MATLAB Tutorial | Lucas Liu | |||||
| 4 | 2016.10.06 | Th | Pixels, Features, and Cameras | Pixels and Filters |
slides
Forsyth & Ponce: Ch 4 (Linear Filters) |
HW1-release | ||
| HW | 2016.10.07 9:30-10:30am 370-370 |
F | HW0 homework session (optional) | Vinaya Polamreddi | Extra office hours for HW0 questions. No new material will be presented. | HW0-due 5pm | ||
| 5 | 2016.10.11 |
T | Edge detection, RANSAC |
slides
Forsyth & Ponce: Ch 5.2 (Edge Detection), 15.4.2 (RANSAC) |
HW2-release | |||
| 6 | 2016.10.13 |
Th | Feature detectors, Harris | Leonid Keselman |
slides
Szeliski: Ch 4.1.1 |
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| 7 | 2016.10.18 | T | Difference of Gaussians, SIFT |
slides
David Lowe's SIFT paper |
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| 8 | 2016.10.20 | Th | Camera 1 |
slides
Forsyth & Ponce: Ch 1 (Camera) Hartley & Zisserman:Ch. 6 |
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| Lecture | 2016.10.21 1:30-3pm 370-370 |
F | Panorama Stitching | Leonid Keselman | slides | |||
| 9 | 2016.10.25 | T | Camera 2 |
slides
Hartley & Zisserman: Ch 10 Forsyth & Ponce:Ch 7 (Stereopsis) |
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| 10 | 2016.10.27 | Th | Camera 3 | (same slides as above) | ||||
| HW | 2016.10.28 1:30-2:30pm Gates 219 |
F | HW1 homework session (optional) | Leonid Keselman | Extra office hours for HW1 questions. No new material will be presented. | HW1-due 5pm | ||
| 11 | Guest | 2016.11.01 | T | Open-World Computer Vision | Amir Zamir | slides | HW3-release | |
| 12 | Guest | 2016.11.03 | Th | Regions of Images, and Segmentation | Basic Concepts of Segmentation | Yannis Kalantidis |
slides
Forsyth & Ponce: Ch 9 |
HW4-release |
| 2016.11.04 | F | No Class | HW2-due 5pm | |||||
| 13 | Guest | 2016.11.08 | T | K-means Clustering | Yannis Kalantidis |
slides
Mean Shift paper |
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| 14 | Guest | 2016.11.10 | Th | Feature tracking | Yannis Kalantidis |
slides
Szeliski: Ch 8.4, 8.5 |
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| 15 | 2016.11.15 | T | Linear Classifiers & Classification | Leonid Keselman | slides | |||
| 16 | Guest | 2016.11.17 | Th | Visual Tracking | Alex Alahi | slides | ||
| HW | 2016.11.18 11am-12pm Gates 359 |
F | HW3 homework session (optional) | Alan Luo | Extra office hours for HW3 questions. No new material will be presented. | HW3-due 5pm | ||
| 17 | 2016.11.29 | T | Recognizing Faces and Objects | Basic Concepts in Recognition, Nearest Neighbor Match | slides |
HW5-release
HW4-due 5pm |
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| 18 | 2016.12.01 | Th | PCA and Eigenfaces |
slides
Eigenfaces paper Fisherfaces paper |
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| 19 | Guest | 2016.12.06 | T | Introduction to Deep Learning | Justin Johnson | slides | ||
| 20 | 2016.12.08 | Th | Exam Overview | TAs |
Exam Overview Slides |
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| HW | 2016.12.09 1-2pm Gates 260 |
F | HW5 homework session (optional) | Alan Luo | Extra office hours for HW5 questions. No new material will be presented. | HW5-due 5pm | ||
|
2016.12.12 12:15-3:15pm Hewlett Teaching Center 201 |
M | Final Exam |
Exam study guide Sample Final (much shorter than the real one!) Solutions |