Introduction to Computer Vision

Instructor: Frank Dellaert, Professor, Interactive Computing

TAs: Cusuh Ham (head TA), Ayush Baid, Jacob Knaup, Julia Chen, John Lambert, Jon Balloch, Patsorn Sangkloy, Shenhao Jiang, Stefan Stojanov, and Vijay Upadhya

Clough Commons 144, MW 4.30pm-5.45pm

Course Description

This course provides an introduction to computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching, stereo, motion estimation and tracking, image classification and scene understanding. We'll develop basic methods for applications that include finding known models in images, depth recovery from stereo, camera calibration, image stabilization, automated alignment, tracking, boundary detection, and recognition. The focus of the course is to develop the intuitions and mathematics of the methods in lecture, and then to learn about the difference between theory and practice in the projects.