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"

(PDF - 1.0 MB)

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)