Lecture Notes

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