1 | Introduction, Tutorial on PCA | |
2 | Eigenfaces | |
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 | Proposals due |
10 | Snakes | |
11 | Geodesic Active Contours | |
12 | Shape Based Curve Evolution | |
13 | Tutorial on Clustering | |
14 | Spectral Clustering | |
15 | Normalized Cuts | |
16 | Graph Cuts for Energy Minimization | |
17 | Belief Propagation | |
18 | SIFT | |
19 | Constellation Model | |
20 | Shape Context | |
21 | Local Descriptors | |
22 | Object Recognition | |
23 | Finite Element Models | Final papers due |
24 | Non-rigid Registration using B-splines | |
25 | Belief Propagation in Image Analysis | |
26 | Doing Photogrammetry Right | Paper reviews due |