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) |