Professor:  Steven Seitz
office:  592 Allen Center
tel:  616-9431
TA:  Jiun-Hung Chen

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:  Although there are no regularly scheduled office hours, you can always 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.



Syllabus (tentative)

Image Processing (2 weeks)

Image Transformation (2 weeks)

Motion Estimation (1 week)

Light (1 week)

3D Modeling (3 weeks)

Object Recognition and Applications (1 week)


Last modified 01/12/2005