| 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 |
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| 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 |
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| 8 |
PR - Clustering |
Part 1: Techniques for Clustering (PDF)
Part 2: An Application of Clustering (PDF) |
| 9 |
Paper Discussion |
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| 10 |
App I - Object Detection/Recognition |
(PDF - 1.3 MB) |
| 11 |
App II - Morphable Models |
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| 12 |
App III - Tracking
Guest Lecturer: Christopher R. Wren
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(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 |
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