2026 Spring > GRAD > CS > CS 675
Computer Vision
Course #: CS 675
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.
Pre Requisites:
Pre-requisite: CS 310 and CS 220 or permission of instructor
| Section | Class Number | Schedule/Time | Instructor | Location | |
|---|---|---|---|---|---|
| 01 | 4279 | TuTh 4:00 - 5:15 pm |
De Oliveira Imbiriba,Tales | McCormack M02-0213 | |
|
Session:
Regular
Class Dates:
01/26/2026 - 05/13/2026
Capacity:
24
Enrolled:
12
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-requisite: CS 310 and CS 220 or permission of instructor
Course Attributes:
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