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Computer Vision

636
Credits:
3.0
001
Building:
Patterson Office Tower
Room:
Rm.OB9
Semester:
Spring 2025
Start Date:
End Date:
Name:
Computer Vision
Requisites:

Prereq: CS 536 or consent of instructor.

Class Type:
LEC
2:00 pm
3:15 pm
Days:
TR

This course covers digital image processing as well as advanced topics in computer vision. Initial topics include image formation, digital filtering, sensor modeling and feature detection techniques. The course will discuss how these algorithms are used to address general computer vision problems including three-dimensional reconstruction, scene understanding, object recognition, and motion analysis.

This course covers digital image processing as well as advanced topics in computer vision. Initial topics include image formation, digital filtering, sensor modeling and feature detection techniques. The course will discuss how these algorithms are used to address general computer vision problems including three-dimensional reconstruction, scene understanding, object recognition, and motion analysis.

CS