This schedule is tentative and may change.
| Date | Topic | Materials |
|---|---|---|
| June 4 | Course Introduction, Python Review |
|
| June 6 | Color, Sampling and Aliasing | |
| June 11 | Linear Filters and Interest Points | |
| June 13 | Histogram of Oriented Features, Scale-Invariant Feature Transform | |
| June 18 | Bag of Words, Feature Matching, RANSAC | |
| June 20 | Hough Transform, Image Segmentation | |
| June 25 | Segmentation by Clustering, Optical Flow | |
| June 27 | CLASS CANCELLED |
|
| July 2 | Tracking | |
| July 4 | Independence Day Holiday |
|
| July 9 | Camera Calibration, Stereo Vision | |
| July 11 | Machine Learning Intro. | |
| July 16 | Neural Networks | |
| July 18 | Intro. to Deep Learning | |
| July 23 | PyTorch Tutorial | |
| July 25 | Recurrent Neural Networks and Transformers | |
| July 30 | Object Detection and Instance Segmentation | |
| August 1 | Generative Adversarial Networks and Vision Transformers | |
| August 6 | Final Project Presentations |
|