Representation and Modeling for Image Analysis
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 |
Projects
A selection of final reports is included in this section. The final reports in this section are used with permission of the students named.
PROJECTS |
REPORTS |
Xiaogang Wang and Chaowei Niu, "Interaction Detection in Far-Field Visual Surveillance" |
(PDF) |
Wanmei Ou, "fMRI Detection via Variational EM Approach" |
|
Kush R. Varshney, "Application of Locally Linear Embedding to the Spaces of Social Interactions and Signed Distance Functions" |
(PDF) |
Diane E. Hirsh, "Massively Multi-target Tracking for Objects in Clutter" |
(PDF) |