About this courseHumans are extremely good at perceiving the world from visual input alone. This comes so easily to us that we underestimate how difficult perception it is, and how hard it is for machines, as the webcomic above illustrates.
Computer vision is a subfield of AI focussed on getting machines to see as humans do, and has been around for almost half a century. This course will cover the basics of computer vision: the underlying mechanics of images, the core problems that the field focuses on, and the array of tools and techniques that have been developed. The emphasis will be on covering the fundamentals which underly both computer vision research and applications. A tentative list of topics is below:
Quick infoCourse Modality: Online, synchronous (for those in convenient time zones) and asynchronous (otherwise)
Ed discussions (in lieu of Piazza)
Instructor: Bharath Hariharan
Lecture time: MWF 1:30pm - 2:20 pm
All Office Hours:(TBD)
|Learning outcomes||Resources||Grading policy|