CS 681 - Computer Vision

Prerequisites
CS 660 and CS 661

This course provides an introduction to computer vision including the fundamentals of image formation, camera imaging geometry, feature detection and matching, stereo, motion estimation, convolutional networks, image classification, segmentation, object detection, transformers, and 3D computer vision. Both applications of classical machine learning and deep learning to approach these problems are explored. The focus of the course is to develop the intuitions and mathematics of the methods in lecture, and then to implement substantial projects that resemble contemporary approaches to computer vision.

Course credits: 3