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. |