CS4670 / 5670 Lectures, Fall 2012
Many of the following slides are modified from the excellent class notes of similar courses offered in other schools by Prof Yung-Yu Chuang, Fredo 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 Date |
Topic | Material | |||
| 0 | 8/22 | W |
Introduction and Overview |
ppt, pdf
Readings: Szeliski, Ch. 1 |
|
| 1 | 8/24 | F |
Image Filtering |
ppt, pdf
Readings: Szeliski, Ch. 3.1, 3.2 |
|
| 2 | 8/27 | M |
Edge detection and Intelligent Scissors |
ppt, pdf
Readings: Szeliski, Ch. 4.2 |
|
| 3 | 8/29 | W |
Image Resampling |
ppt, pdf
Readings: Szeliski, Ch. 2.3.1, 3.5 |
|
| 4 | 8/31 | F | Image Interpolation |
ppt, pdf
Readings: Szeliski, Ch. 2.3.1, 3.5 |
|
| - | 9/3 | M | Labor Day -- No Class | ||
| 5 | 9/5 | W |
Feature detection |
ppt, pdf
Readings: Szeliski, Ch. 4.1 |
|
| 6 | 9/7 | F |
Harris corner detection |
ppt, pdf
Readings: Szeliski, Ch. 4.1 |
|
| 7 | 9/10 | M |
Invariance, blob detection, and MOPS
|
ppt, pdf
Readings: Szeliski, Ch. 6.1 |
|
| 8 | 9/12 | W |
Feature matching
|
ppt, pdf
Readings: Szeliski, Ch. 6.1 |
|
| 9 | 9/14 | F |
Image transformations |
ppt, pdf
Readings: Szeliski, Ch. 6.1 |
|
| 10 | 9/17 | M |
Image alignment
|
ppt, pdf
Readings: Szeliski, Ch. 6.1 |
|
| 11 | 9/19 | W |
Image alignment, Part 2
|
ppt, pdf
Readings: Szeliski, Ch. 6.1 |
|
| 12 | 9/24 | M |
Robustness and RANSAC
|
ppt, pdf
Readings: Szeliski, Ch. 6.1 |
|
| 13 | 9/26 | W |
Cameras
|
ppt, pdf
Readings: Szeliski, Ch. 2.1.3-2.1.6 |
|
| 14 | 9/28 | F |
Projection
|
ppt, pdf
Readings: Szeliski, Ch. 2.1.3-2.1.6 |
|
| 15 | 10/1 | M |
Panoramas
|
ppt, pdf
Readings: Szeliski, Ch. 9 |
|
| 16 | 10/3 | W | Stereo |
ppt, pdf
Readings: Szeliski, Ch. 9 |
|
| 17 | 10/10 | W | Single-view modeling |
pdf
Readings: Szeliski, Ch. 6.2, 6.3 |
|
| 18 | 10/15 | M | Single-view modeling, Part 2 |
ppt, pdf
Readings: Szeliski, Ch. 6.2, 6.3 |
|
| 19 20 21 |
10/17 10/19 10/22 |
W F M |
Two-view Geometry |
ppt, pdf
Readings: Szeliski, Ch. 7.2 |
|
| 22 | 10/24 | W | Structure from motion |
ppt, pdf
Readings: Szeliski, Ch. 7.3,7.4 |
|
| 23 | 10/26 | F | Structure from
motion, Part 2 |
ppt, pdf
Readings: Szeliski, Ch. 7.1 - 7.4 |
|
| 24 | 10/29 | M | Multi-view stereo |
ppt, pdf
Readings: Szeliski, Ch. 11.6 |
|
| 25 | 10/31 | W | Intro to Recognition |
ppt, pdf
Readings: Szeliski, Ch. 14.1 |
|
| 26 | 11/2 | F | Probability |
ppt, pdf
Readings: Szeliski, Ch. 14.1-14.2 |
|
| 27 | 11/5 | M | Eigenfaces |
ppt, pdf
Readings: Szeliski, Ch. 14.1, 14.2 |
|
| 28 | 11/7 | W | Bag-of-words Models |
ppt, pdf
Readings: Szeliski, Ch. 14.3, 14.4 |
|
| 29 | 11/9 | F | Viola-Jones Face Detection |
ppt, pdf
Readings: Szeliski, Ch. 14.1 |
|
| 30 | 11/12 | M | Segmentation |
ppt, pdf Readings: Szeliski Chapter 5.3 |
|
| 31 | 11/14 | W | Graph-Based Segmentation |
ppt, pdf Szeliski Chapter 5.4, 5.5 |
|
| 32 | 11/16 | F | Modern Object Recognition |
ppt, pdf Readings: Szeliski Chapter 14.4 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. |
|
| 33 | 11/19 | M | The PASCAL Challenge |
ppt, pdf Szeliski Chapter 14.5 |
|
| 34 | 11/21 | W | Light and Reflectance |
ppt, pdf Readings: Szeliski, 2.2, 2.3.2 |
|
| 35 | 11/28 | W | Photometric stereo |
ppt, pdf Readings: Szeliski 12.1 |
|
| 36 | 11/30 | F | Review |
ppt, pdf
|
|
