COS 573 - Computer Vision

Computer Vision is an accessible sub-field of computer science that is rising in importance and accelerating on the strengths of machine learning methods that have become 21st century model for artificial intelligence. We will explore the uses of tools and techniques to understand our world through computing using images as our data. The first half of the course will introduce machine learning and convolutional neural networks for object recognition and classification, photogrammetry and reconstruction, and multimodal and hyperspectral imaging. As the course progresses, we will delve into the topics of image acquisition, mathematical analysis, the Fourier transform and frequency space, statistical pattern recognition, and other foundations of the field. This course is a fast-paced, hands-on, practical exploration of computer vision. Students from the class are organized into teams to work on a computer vision project.

Prerequisites & Notes
COS 226 with a grade of C- or better or permission of the Instructutor.

COS 473 and COS 573 can not both be taken for degree credit.

Credits: 3