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 |