ANNOUNCEMENTS:
ALL Homework Submission -- cse527@cs.sunysb.edu
NEW CLASS LOCATION -- CS BUILDING 2311 (2313A)

CLASS INFORMATION:

Course Description: -- 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 image "understanding".

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.