AI321 Computer Vision

This course covers the fundamentals of computer vision, including computer vision systems, image models, feature extraction, shape representation and recognition, object modeling and recognition, matching, and machine learning approaches for vision tasks. This course also includes hands-on Labs to let students practice various computer vision techniques.

Prerequisite

AI210 or Approval

Corequisite

None

Credits

4

Distribution

Computer Science/Engineering/Information Technology