office: 423C Sieg Hall
Office Hours: Tuesday, 2:30-3:30
office: 425 Sieg
Office Hours: Wednesday, 2:30-3:30
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 posted office hours, you can usually arrange an appointment with the TA or instructor. Just send an email requesting a meeting.
Forsyth & Ponce, Computer Vision: A Modern Approach, Pearson, 2002, ISBN 0130851981
We will also use readings from a few textbooks.
Image Filtering (2 weeks)
Image Transformation (2 weeks)
Motion Estimation (2 weeks)
3D Modeling (3 weeks)
Object Recognition and Applications (1 week)
Last modified 04/22/2003