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.