Computer vision is staking its claim as artificial intelligence’s hottest research field. A new set of online courses from the University at Buffalo examines how this technology is enabling computers to visually process the world, and includes perspectives from Embedded Vision Alliance founder Jeff Bier.
All four courses are now available on the Coursera platform:
- Computer Vision Basics: introduces core concepts of the computer vision field and its mission of making computers see and interpret the world as humans do.
- Image Processing, Features & Segmentation: empowers learners to develop image processing programs and leverage MATLAB functionalities to implement sophisticated image applications.
- Stereo Vision, Dense Motion & Tracking: teaches learners how to develop 3D vision applications using a stereo imaging System.
- Visual Recognition & Understanding: prepares learners to solve computer vision problems with deep learning.
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.
For more information and to register, please visit the course series page.
