CSE 527: INTRODUCTION
Submission -- email@example.com
NEW CLASS LOCATION -- CS BUILDING 2311
Tue/Thu 2:20 - 3:40 pm
Location: Computer Science Bldg. room 2311 (2313A)
Prof. M. Alex O. Vasilescu
Office Hours: Tue/Thu 4-5pm
-- Complete list of Topics.
Today's computers interact in a limited way with the world and
with humans because they lack the ability to "see". Cameras and
video recorders capture visual information without understanding the
information they capture.
The goal of computer vision is to "discover from images what is
present in the world, where things are located, what actions
are taking place" (Marr 1982). To achieve this
goal, we need to know how light is reflected off surfaces, how objects move,
and how this information is projected onto an image by the optics of
a camera. Unfortunately, information is lost when the three
dimensional world is projected onto a two dimensional image. We will
study the mathematics needed to devise algorithms to recover, or
reconstruct, some of physical properties of the world from one or more
images. However, vision is more than
simply reconstructing the 3D world from 2D images, it is about
This course is an introduction to
basic concepts in computer vision, as well some research topics. We
will cover low-level image
analysis, image formation, edge detection, segmentation, image
transformations for image synthesis, methods for 3D scene
reconstruction, motion analysis, tracking, and bject recognition.
Linear Algebra, Probability, or consent of the instructor.