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 it's impossible for you to make it to scheduled office hours, you can usually arrange an appointment with the TA or instructor. Just send an email requesting a meeting.
CSE 455 Course Reader, available at the UW Bookstore in the CSE textbook area.
Richard Szeliski's book Computer Vision: Algorithms and Applications. The book draft is currently available online.
A.Zisserman. Multiple View Geometry in Computer Vision.
Some parts of this book are available online.
R. Hartley, A.Zisserman., Multiple View Geometry - Tutorial. CVPR (1999).
D. A. Forsyth, J. Ponce. Computer Vision a Modern Approach. Prentice Hall, 2003.
Object Recognition and Applications
Last modified 1/14/2010