CSE 4310 - Fundamentals of Computer Vision
⭓Description
This is the course page for CSE 4310 - Fundamentals of Computer Vision. Here you’ll find slides and other helpful resources. All assignments and announcements will be posted on Canvas.
Instructor Office Hours
| Days | Time | Location |
|---|---|---|
| MoWe | 1PM - 2PM | ERB 556A |
| TuTh | 3PM - 4PM | ERB 556A |
| Fri | 9AM - 10AM | Teams |
Teaching Assistants
- Keshav Bansal (kxb5527 (at) mavs (dot) uta (dot) edu)
Office Hours
| Days | Time | Location |
|---|---|---|
| Mo-We | 8AM - 10AM | Teams |
⭓Course Materials
Books
- Richard Szeliski, Computer Vision: Algorithms and Applications, Springer, 2020.
- David Forsyth and Jean Ponce, Computer Vision: A Modern Approach, Prentice Hall, 2011.
Papers
Resources
⭓Schedule
This schedule is tentative and may change.
| Date | Topic | Materials |
|---|---|---|
| June 3 | Course Introduction, Python Review |
|
| June 5 | Color, Sampling and Aliasing | |
| June 10 | Linear Filters and Interest Points | |
| June 12 | Histogram of Oriented Features, Scale-Invariant Feature Transform | |
| June 17 | Scale-Invariant Feature Transform, Template Matching, Bag of Words | |
| June 19 | Juneteenth Holiday |
|
| June 24 | Hough Transform, Image Segmentation | |
| June 26 | Segmentation by Clustering, Optical Flow | |
| July 1 | Tracking | |
| July 3 | Machine Learning Intro. | |
| July 8 | Neural Networks | |
| July 10 | Intro. to Deep Learning | |
| July 15 | PyTorch Lightning Tutorial, Camera Models | |
| July 17 | Camera Calibration, Stereo Vision | |
| July 22 | Object Detection and Instance Segmentation | |
| July 24 | Recurrent Neural Networks and Transformers |