CS675: Computer Vision

Credits: 3

Catalog Description

This course provides both theoretical knowledge and practical experience with fundamental and advanced Computer Vision algorithms. Topics range from basic image processing techniques such as image convolution and region and edge detection to more complex vision algorithms for contour detection, depth perception, dynamic vision, and object recognition. Students will implement vision algorithms in the JAVA programming language. The performance of these programs is evaluated, and the advantages and disadvantages of individual approaches are discussed. The final project is the development by students of their own computer vision program solving a given problem.

Current & Upcoming Offerings

2025-2026

Fall 2025 1 section
Section Schedule / Time Instructor Location
01
MW 04:00PM - 05:15PM
De Oliveira Imbiriba, Tales Cesar
W01-0034
Spring 2026 1 section
Section Schedule / Time Instructor Location
01
TuTh 04:00PM - 05:15PM
De Oliveira Imbiriba, Tales Cesar
M02-0213

Prerequisites

  • CS310 and CS220/CS320L/MATH320L or permission of the instructor

Graduate course in computer vision for graduate students covering computer vision algorithms and visual recognition methods.