CS6670 Lectures

Many of the following slides are modified from the excellent class notes of similar courses offered in other schools by Prof Yung-Yu Chung, Frédo Durand, Alexei Efros, William Freeman, Svetlana Lazebnik, Srinivasa Narasimhan, Steve Seitz, Richard Szeliski, and Li Zhang. The instructor is extremely thankful to the researchers for making their notes available online. Please feel free to use and modify any of the slides, but acknowledge the original sources where appropriate.

The following syllabus is tentative, and subject to change.

Lecture Dates

Topics Materials
0 8/27 Th Introduction and Overview
ppt, pdf

Readings: Szeliski, Ch. 1

1 8/27 Th Image Filtering
ppt, pdf

Readings: Szeliski, Ch. 3.1, 3.2

2 9/8 Tu Edge detection and interpolation
ppt, pdf

Readings: Szeliski, Ch. 3.4.1, 3.4.2

3 9/10 Th Features and Matching
ppt, pdf

Readings: Szeliski, Ch. 4.1

4 9/15 Tu Cameras
ppt, pdf

Readings: Szeliski, Ch. 2.2.3, 2.3

5 9/17 Th Camera Projection
ppt, pdf

Readings: Szeliski, Ch. 2.1

6 9/22 Tu Image Transformations
ppt, pdf

Readings: Szeliski, Ch. 3.5, 9.1

7 9/24 Th Panoramas
ppt, pdf

Readings: Szeliski, Ch. 9.3

8 9/29 Tu Optical flow
Guest lecture by Prof. Pedro Felzenszwalb
9 10/1 Th Stereo
Guest lecture by Prof. Pedro Felzenszwalb
10 10/6 Tu Stereo and Graph Cuts
ppt, pdf

Readings: Szeliski, Ch. 11.2-11.5

11 10/8 Th Structure from Motion
 
ppt, pdf

Readings: Szeliski, Ch. 7.2, Noah Snavely's thesis, Chapter 3

12 10/15 Th Structure from Motion 2
 
ppt, pdf

Readings: Szeliski, Ch. 7.2, 7.4, Noah Snavely's thesis, Chapter 3

13 10/20 Tu Multiview Stereo
ppt, pdf

Readings: Szeliski, Ch. 11.6

14 10/22 Th Intro to Recognition
ppt, pdf
15 10/27 Tu Face Detection
ppt, pdf

Readings: Szeliski, Ch. 14.1, 14.2

16 10/29 Th Bag-of-words Models
ppt, pdf

Readings: Szeliski, Ch. 14.4

17 11/3 Tu Pictorial Structures and Context
ppt, pdf

Readings: Szeliski, Ch. 14.4, 14.5

18 11/5 Th

Recent Advances in Recognition

ppt, pdf

Readings: Dalal and Triggs, Histograms of oriented gradients for human detection. CVPR 2005.

Felzenszwalb, et al., Object detection with discriminatively trained part based models. PAMI 2009.

19 11/10 Tu

Projective Geometry and Single-View Modeling

ppt, pdf

Readings: Mundy, J.L. and Zisserman, A., Geometric Invariance in Computer Vision, Appendix: Projective Geometry for Machine Vision, MIT Press, Cambridge, MA, 1992, (read 23.1 - 23.5, 23.10). Online here.

20 11/12 Th

Light and Reflectance

ppt, pdf

Readings: Szeliski, 2.2, 2.3.2

21 11/17 Tu

Light, reflectance, and photometric stereo

ppt, pdf

Readings: Szeliski 12.1

22 11/19 Th

Computational photography

ppt, pdf

Readings: Szeliski Chapter 10

23 11/24 Tu

Computational photography 2

ppt, pdf

Readings: Szeliski Chapter 10

24 12/1 Tu

Segmentation

ppt, pdf

Readings: Szeliski Chapter 5