CSE 4310 - Fundamentals of Computer Vision

Spring 2025

Last updated on Jan 10, 2025

⭓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
MoWeFri	12PM - 1PM	ERB 556A
TuTh	1PM - 2PM	ERB 556A

Teaching Assistants

Roman Strukov (rxs6055 (at) mavs (dot) uta (dot) edu)

Office Hours

Days	Time	Location
TuWe	5 - 6PM	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.

Resources

⭓Schedule

This schedule is tentative and may change.

Date	Topic	Materials
January 13	Course Introduction
January 15	Human Vision and Color	Color
January 17	Sampling and Aliasing	Sampling and Aliasing
January 22	Linear Filters	Linear Filters
January 24	Interest Points	Interest Points
January 27	Image Features	Image Features
January 29	Image Features	Image Features
January 31	Histogram of Oriented Gradients	Histogram of Oriented Gradients
February 3	Scale Invariant Feature Transforms	SIFT Features
February 5	Bag of Visual Words and Feature Matching	Bag of Visual Words
February 10	RANSAC	RANSAC
February 12	Hough Transforms	Hough Transforms
February 14	CANCELLED
February 17	Image Segmentation	Image Segmentation
February 19	Image Segmentation	Segmentation via Clustering
February 21	Machine Learning Basics	Linear Regression Logistic Regression
February 24	Machine Learning Basics	Logistic Regression
February 26	Neural Networks	Neural Networks
February 28	Neural Networks	Neural Networks
March 3	Convolutional Neural Networks	Convolutional Neural Networks
March 5	PyTorch Tutorial
March 7	Pytorch Lightning Tutorial
March 17	Object Detection	Object Detection
March 19	Object Detection	Object Detection
March 21	NO CLASS
March 24	Optical Flow	Optical Flow
March 26	Tracking	Tracking
March 31	Kalman Filter	Tracking
April 2	Camera Models	Camera Models
April 4	Instance Segmentation	Instance Segmentation
April 7	Camera Calibration, Stereo Vision	Camera Models Stereo Vision
April 9	Recurrent Neural Networks	Recurrent Neural Networks
April 11	Transformers	Transformers
April 14	Transformers	Transformers
April 16	Transformers, Vision Transformers	Transformers Vision Transformer
April 18	Vision Transformers	Vision Transformer
April 21	Special Topics, Wrap Up
April 23	Project Presentations
April 25	Project Presentations
April 28	Project Presentations