CS498
Schedule
In the table below, in the page numbers pp. xx/yy, xx refers to the page number in the hard copy of Szelinski's Computer Vision: Algorithms and Applications, and yy refers to the electronic version.1
| Week | Day | Topics | Reading | Lab |
|---|---|---|---|---|
| 1 |
1 | Overview of Modern Computer Vision
Image representation and manipulation: Pixels, Color, Gray-scale, |
1.1*, 1.2, 1.3*
3.1.1-3.1.3 (p. 91/) |
Lab 1a: Simple Image Manipulations |
| 2 | Filtering: Convolution, smoothing, edge conditions | 3.1.4, Eq. 3.41 (p. 112/128), 3.2 (p. 98-107/111-122) | ||
| 2 |
1 | Filtering: differentiation
Summarizing an image: Histograms and Blocks 2D homographic point transforms Changing pixels: Thresholding |
Appendix A
2.1-2.1.2 (pp. 29-36/) |
Lab 1b: Introduction to filtering and histograms |
| 2 | Review of linear algebra
Filtering: Hessian (Hessian not covered) Homographic image warping. Interpolation. |
6.1 - 6.1.4 (pp. 275-282/), 3.5.1 | ||
| 3 |
1 | Multi-resolution blob detection and image pyramids
Machine Learning and Features |
4.1 (p. 183-184/), A.1.2 (p. 647-649/)
3.5 (all), 4.1.1, Sub-section Scale Invariance (p. 191-193/) |
Lab 2: Warping images |
| 2 | The SIFT feature-point description | 4.1.2 | ||
| 4 |
1 | Margin | (Lab 2 continued) | |
| 2 | Composite image transforms | |||
| 5 |
1 | Composite image transforms -- exercise | Lab 3: Multi-scale interest-point detection (SIFT)
Feedback Survey | |
| 2 | Testing machine-learning algorithms: Performance metrics, ROC curves | 4.1.3 (p. 200-204/) | ||
| 3 | RANSAC -- Random Sampling and Consensus | 6.1.4 | ||
| 6 |
1 | 3D transforms: Rotation, Translation, Camera projection | 2.1.4-2.1.5 (pp. 36-52/) | Lab 5: Image stitching by SIFT/SURF feature matching |
| 2 | 3D transforms: Focal lengths, Vanishing points and Camera calibration | 6.3 (pp. 288-295/) | ||
| 3 | Radial distortion and gradient descent | 2.1.6 (pp. 52-54/) | ||
| 7 |
1 | (Margin) | Lab 6: 3D Camera Geometry and Calibration | |
| 2 | Survey: Detection Algorithms | 14.1.2, 14.3-14.3.3, 14 (all), papers | ||
| 3 | Survey: Detection Algorithms | 14.1.2, 14.3-14.3.3, 14 (all), papers | ||
| 8 |
1 | Survey: Face Recognition | 14.2.2-14.2.3, papers | Lab 7: |
| 2 | Survey: Face Recognition | 14.2.2-14.2.3, papers | ||
| 3 | Survey: Structure from motion | 7 (all) | ||
| 9 |
1 | Survey: 3D Reconstruction | 12 (all) | Lab 8: Completion of Implementation of a Computer Vision Project and documentation, and report writing |
| 2 | Survey: 3D Reconstruction | 12 (all) | ||
| 3 | Survey: Image-based rendering | 13 (all) | ||
| 10 |
1 | Survey: Structured Light (Kinect) | Presentation of Computer Vision Projects | |
| 2 | Survey: Structured Light (Kinect) | |||
| 3 | Review | |||
| 11 |
TBA Final Exam | |||
1 It is rare that I supply both... if you would like to complete the table, please feel free to save this page, insert the missing numbers, and email the page to me. I will edit this page from time to time, so please contact me if you plan to do this over more than a day.