Advanced Computer Vision

Catalog description

This course covers advanced research topics in computer vision. Building on the introductory materials covered in the Computer Vision prereq class, this class will prepare graduate students in both the theoretical foundations of computer vision as well as the practical approaches to building real Computer Vision systems. This course investigates current research topics in computer vision with an emphasis on recognition tasks and deep learning. Topics include optical flow, object tracking, object recognition, bag-of-features representation, deep neural networks, etc. We will examine data sources, features, and learning algorithms useful for understanding and manipulating visual data. Instructor approval required to register.