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

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