Published April 22, 2019
Computer vision is staking its claim as artificial intelligence’s hottest research field. A new set of online courses examines how this technology is enabling computers to visually process the world.
The Computer Vision series introduces the technology behind systems that mimic complex human vision capabilities, preparing learners with the foundation necessary to design computer vision application programs from scratch. It explores the integral elements that permit vision applications such as image-editing smartphones, self-driving cars that read traffic signs and factory robots that navigate around human co-workers.
Junsong Yuan, associate professor in the Department of Computer Science and Engineering, School of Engineering and Applied Sciences, and instructor Radhakrishna Dasari, created the four-course series as a primer on computer vision and image processing.
Courses are appropriate for individuals who possess basic programming skills and experience, and are familiar with rudimentary linear algebra, 3-D coordinate systems and transformations, and simple calculus and probability.
The first three courses are now available on the Coursera platform, while the fourth is scheduled to launch on May 13:
Content consists of 5- to 10-minute video lesson learning sprints, demos, hands-on exercises, project work, readings and discussions. Learners gain experience writing computer vision programs through online labs using MATLAB and supporting toolboxes.
Learners may sign up for individual courses or the complete series. There is no charge to “audit” a course, which includes videos, readings, community discussion forums and the ability to view assignments.
The fee to gain complete access – which includes submitting all assignments for feedback or a grade, and the opportunity to earn a verified certificate for the complete series – is $49 per month.