# Lecture Notes

Lecture Notes Table
LEC # | TOPICS
--- | ---
1 | Introduction, Tutorial on PCA (PDF)
2 | Eigenfaces (PDF)
3 | Active Appearance Models
4 | Tutorial on EM
5 | Learning Flexible Sprites in Video Layers
6 | LLE and other Manifold Learning Methods
7 | EM Segmentation
8 | Tutorial on Calculus of Variations
9 | Mumford-Shah
10 | Snakes
11 | Geodesic Active Contours
12 | Shape Based Curve Evolution (PDF)
13 | Tutorial on Clustering
14 | Spectral Clustering
15 | Normalized Cuts
16 | Graph Cuts for Energy Minimization
17 | Belief Propagation (PDF)
18 | SIFT
19 | Constellation Model
20 | Shape Context
21 | Local Descriptors
22 | Object Recognition
23 | Finite Element Models
24 | Non-rigid Registration using B-splines
25 | Belief Propagation in Image Analysis
26 | Doing Photogrammetry Right