|
# |
Date |
Description
|
Readings |
Assignments
|
|
1 |
1/28 |
Course Introduction (slides) |
|
|
|
2
|
1/30 |
Linear Algebra Review and Matlab Tutorial (slides) |
Optional:
Eero
Simoncelli
"A Geometric View of Linear Algebra"
Michael Jordan slightly more in depth
linear algebra
review
Jim Hefferon
online Introductory Linear Algebra Book
|
|
|
3
|
2/5 |
Image formation, Lenses and Cameras
(slides) |
Req:
FP 1
Opt: H 2.1, 2.3 |
PS #1 - Assigned |
| 4 |
2/5 |
Color and Image Statistics
(slides) |
FP 6.3
Michael J. Jones, James
Rehg,
"Statistical color models with application to skin detection", International Journal of Computer Vision,
1999
"A Survey on Pixel-Based Skin Color Detection
Techniques" Vladimir Vezhnevets, Vassili Sazonov, Alla
Andreeva |
|
| 5 |
2/10 |
Statistical linear models: PCA (Eigenfaces) (slides) |
Turk, M. & Pentland, A. (1991).
"Eigenfaces for recognition"
Journal of Cognitive Neuroscience, 3, 71-86.
FP pgs. 505-512
|
PS #1 - Due |
| 6 |
2/12 |
Statistical Linear Models: ICA and FLD (slides) |
Handout:
Moghaddam ;
ICA Tutorial;
Belhumer etal.
Opt: FP 22 |
|
| 7 |
2/17 |
Statistical Multilinear Models:
TensorFaces / Multilinear PCA: -
slides I
-
code and data |
Handout:
TensorFaces: Vasilescu and Terzopoulos
;
Opt: FP 22
|
PS #2 -
Assigned |
| 8 |
2/19 |
Statistical Multilinear Models: (slides)
Multilinear (Tensor) ICA,
Multilinear Projection
|
Handouts:
Multilinear
(Tensor) ICA: - Vasilescu and Terzopoulos;
Multilinear Projection - Vasilescu and Terzopoulos
|
|
| 9 |
2/24 |
Multilinear Projection (continued) |
|
|
| 10 |
2/26 |
Image Filtering,
Edge Detection (slides) |
FP 7 & 8 |
|
| 11 |
3/3 |
Fourier Transforms & Image Representations: Pyramids (slides) |
FP 9.2 |
|
| 12 |
3/5 |
Feature Extraction: Corners & Blobs |
|
|
| 13 |
3/10 |
Physically-Based Models: Mass-Spring Systems |
|
|
| 14 |
3/12 |
Active Contours (snakes) |
|
PS #2 - Due |
| 15 |
3/17 |
Active Shape Models |
|
PS #3 - Assigned |
| 16 |
3/19 |
Active Appearance Models |
|
|
| 17 |
3/24 |
Tracking: Kalman Filters |
|
|
| 18 |
3/26 |
Tracking: Particle Filters, Tracking Humans |
|
|
| 19 |
3/31 |
Mean Shift Algorithm |
|
|
| 20 |
4/2 |
Project Proposal Presentations |
|
Proposals – Due
2 pg. description
3-5 slides
|
| |
4/6-11 |
SPRING BREAK |
| 21 |
4/14 |
Camera Calibration, Epipolar Geometry |
|
|
| 22 |
4/16 |
Stereo |
|
|
| 23 |
4/21 |
Optical Flow, Structure from Motion |
|
|
| 24 |
4/23 |
Shape from Shading |
|
|
| 25 |
4/28 |
Surface Reconstruction |
|
| 26 |
4/30 |
|
|
|
|
27 |
5/5 |
Project Show and Tell
|
|
Projects Due
Submit 10-15 Slides
|