CS 1674 - INTRODUCTION TO COMPUTER VISION
Minimum Credits: 3
Maximum Credits: 3
In this class, students will learn the basics of modern computer vision. The course will cover topics such as image filtering, edge detection, feature extraction, description and matching, grouping and clustering, object detection, activity recognition, and recognition with a human in the loop.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: LG/SNC Elective Basis
Course Requirements: PREQ: CS 1501 or COE 1501 (MIN GRADE ‘C’ OR TRANSFER)
Click here for class schedule information.
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