Course calendar (tentative--subject to
change)
The course calendar below gives the lecture
topics, assignment and
due dates for projects. The calendar is subject to change during
the quarter, and we will remind you as each of the due dates comes near.
Week |
Topics |
Readings |
Assignments |
Demos |
1 |
January 5
Introduction [pdf,
html,
ppt]
Filtering [pdf,
html,
ppt]
Sampling
[pdf,
html,
ppt]
|
Forsyth & Ponce textbook, chapter 7
(optional)
bilateral filtering |
|
image warping applet
Moire
patterns applet |
2 |
12
Edge detection
[pdf,
html, ppt]
Image scissors
[pdf,
html,
ppt]
|
Forsyth, chapters 8, 15.1
Intelligent Scissors
(Mortensen et al., SIGGRAPH 95) |
Project 1 assigned
|
snoop (image zoom) program |
3 |
19
Motion
[pdf,
html,
ppt]
Cameras
[pdf,
html,
ppt] |
Trucco & Verri, 8.3 8.4 (skip 8.3.3), (class handout)
Numerical Recipes (Newton-Raphson),
9.4 (first four pages)
Nalwa 2.1 (class handout)
|
|
rotating cube illusion
barber pole illusion
tutorial
on digital cameras
thin lens
applet |
4 |
26
Projection (see
camera slides)
Mosaics [pdf,
html,
ppt]
|
Mosaics (Szeliski & Shum, SIGGRAPH 97) |
Project
1 due
Project 2
assigned
|
full-screen panoramas (including
Mars)
seattle panorama site alignment
image (load into photoshop)
AutoStitch |
5 |
February 2
(Guest lecturers:
Li Zhang and
Jiwon Kim)
Stereo [html,
ppt]
SIFT
features [html,
ppt] |
Trucco & Verri, Chapter 7
Read through 7.1, 7.2.1, 7.2.2, 7.3.1, 7.3.2, 7.3.7 and 7.4, 7.4.1.
(rest is optional) |
|
epipolar geometry applet,
Digital
Michelangelo Project,
Nomad robot |
6 |
9
Light & reflection
[pdf,
html, ppt]
Photometric stereo
[pdf,
html,
ppt]
+ example-based [pdf,
html, ppt]
|
Forsyth chapters 4, 5.4, 6 (through 6.2) |
Project
2 due
Project
3
assigned
|
illusions:
brightness contrast,
after-images, demos:
metamers, HDR (Debevec,
Columbia) |
7 |
16
Projective geometry,
Single view modeling
[pdf,
html,
ppt]
|
Mundy and Zisserman, Projective Geometry for Machine Vision
(read 23.1 - 23.5, 23.10)
available online:
http://www.cs.cmu.edu/~ph/869/papers/zisser-mundy.pdf
|
|
virtual museum (by
Criminisi et
al.)
related methods:
* UW
* MIT |
8 |
23
Camera Calibration
Recognition [pdf,
html, ppt]
|
C.
Bishop, Neural Networks for Pattern Recognition, Oxford University
Press, 1998, Chapter 1.
Forsyth
and Ponce, 22.3
|
Project
3 due
Project
4
assigned
|
camera calibration toolkits:
- Bouguet:
Matlab,
C
- Zhang: C (exe) |
9 |
March 1
segmentation [pdf,
html,
ppt]
texture [pdf,
html,
ppt] |
Forsyth
chapter 14 (16 optional)
Efros & Leung texture synthesis
paper
|
|
K-means
clustering applet,
EM
applet,
morphological operators
mass-spring movies:
movie1,
movie2 |
10 |
8
multiview stereo
[pdf,
html,
ppt] |
(optional)
Seitz and Dyer,
Photorealistic Scene Reconstruction by Voxel Coloring |
Project 4 due
|
the 3D Room |
|