CS 663 - Computer Vision

Units: 3
Mathematical and algorithmic approaches to the problem of computing properties of the 3-D world from one or more digital images. Topics may include imaging, image processing, feature detection, calibration, stereopsis, motion, object recognition, tracking. Programming projects and review of literature.

Prerequisites: CS 401 or CS 601.
Credit Restrictions: Computer Science M.S. or B.S. students only.

Possible Instructional Methods: On-ground or Hybrid.
Grading: A-F grading only.
Student Learning Outcomes - Upon successful completion of this course students will be able to:

Demonstrate advanced understanding of the mechanisms, components and architecture of computer vision systems.
Apply advanced computer science theory to computational problems in the domain of computer vision.
Apply emerging technologies in the sector of Computer Vision.
Research and analyze current computer vision literature.