6.881 | Spring 2005 | Graduate

Representation and Modeling for Image Analysis

Calendar

LEC # TOPICS KEY DATES
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

Course Info

As Taught In
Spring 2005
Level