teaching computer vision (UK CS 636)
01 January 2013
Course Summary
The goal of computer vision is to extract properties of the world from
images. In this course, we will explore aspects of this challenging
problem, ranging from motion estimation to object detection and from
3D shape reconstruction to scene understanding. Students will be
exposed to both classical results and cutting-edge research. The aim
of this graduate course is a better understanding of algorithms and
modeling techniques useful for interpreting images and videos of the
natural world. Many algorithms and theoretical results will be
discussed, but the emphasis will be on build working prototypes. This
hands-on emphasis will be reflected in the programming assignments, in
which students will develop image analysis tools and evaluate their
programs on standardized datasets.
Pre-requisites
Programming experience, multivariate calculus (MA 213) and linear
algebra (MA 322). Previous experience with image processing and/or
computer graphics will be very helpful but is not required. Please
ask the instructor if you are unsure if you have sufficient
experience.