Office Hours: Tuesday 4-5pm at CSE216
The goal of computer vision is to compute properties of the three-dimensional world from digital images. Problems in this field include identifying the 3D shape of an environment, determining how things are moving, and recognizing familiar people and objects, all through analysis of images and video. This course provides an introduction to computer vision, including such topics as feature detection, image segmentation, motion estimation, image mosaics, 3D shape reconstruction, and object recognition.
Notes about office hours: If you can't make scheduled office hours, you can always arrange an appointment with the professors or TA. Just send an email requesting a meeting.
Szeliski, Computer Vision: Algorithms and
Applications (please check Web site weekly for
Optional: Forsyth & Ponce, Computer Vision: A Modern Approach, Pearson, 2002, ISBN 0130851981
We may also use readings from a few textbooks.
Last modified 03/29/2008