| LEC # | TOPICS | NOTES |
|---|---|---|
| 1 | Overview, Introduction | Course Introduction (PDF - 2.6 MB) Vision: Feature Extraction Overview (PDF - 1.9 MB) Quick MATLAB® Tutorial (PDF) |
| 2 | Vision - Image Formation and Processing | |
| 3 | Vision - Feature Extraction I | (PDF - 2.4 MB) |
| 4 | PR/Vis - Feature Extraction II/Bayesian Decisions | Part 1: Bayesian Decision Theory (PDF - 1.1 MB) Part 2: Principal and Independent Component Analysis (PDF) |
| 5 | PR - Density Estimation | (PDF - 1.4 MB) |
| 6 | PR - Classification | (PDF) |
| 7 | Biological Object Recognition | |
| 8 | PR - Clustering | Part 1: Techniques for Clustering (PDF) Part 2: An Application of Clustering (PDF) |
| 9 | Paper Discussion | |
| 10 | App I - Object Detection/Recognition | (PDF - 1.3 MB) |
| 11 | App II - Morphable Models | |
| 12 | App III - Tracking Guest Lecturer: Christopher R. Wren | (PDF - 1.0 MB) Courtesy of Christopher R. Wren. Used with permission. |
| 13 | App IV - Gesture and Action Recognition | (PDF - 3.0 MB) |
| 14 | Project Presentation |