This course introduces students to computing with visual data (images and video). We will cover acquisition, representation, and manipulation of visual information from digital photographs (image processing), image analysis and visual understanding (computer vision), and image synthesis (computational photography). Key algorithms will be presented, ranging from classical to contemporary, with an emphasis on using these techniques to build practical systems. The hands-on emphasis will be reflected in the programming assignments, where students will acquire their own images and develop, largely from scratch, image analysis and synthesis tools for real-world applications.

* EECS & CS PhD students are allowed to enroll in the class. All non-MEng graduate students will be waitlisted and required to fill out a form to enroll.

* Time conflicts with this class will NOT be allowed.

* Instructor consent required.

Requisites

• Students not in the Master of Engineering Program

Repeat Rules

Course is not repeatable for credit.