E27: Computer Vision

Spring 2013

Tue, Thu 11:20-12:35, Hicks 211
Instructor: Matt Zucker

Course Description

Computer vision studies how computers can analyze and perceive the world using input from imaging devices. This course introduces topics in computer vision of particular relevance to engineers, with an emphasis on hands-on applications. We will also learn about state of the art techniques and sensors, including the Microsoft XBOX Kinect sensor.

Look over the course syllabus for more information.

The topics below are subject to change. As we move through the course, I will update the list to reflect the new schedule, readings, and assignments.

Textbook

Richard Szeliski, Computer Vision: Algorithms and Applications, Springer 2010-11.

The book is available in its entirety online at http://szeliski.org/Book/. I have not ordered copies at the bookstore, but if you want a hard copy you should be able to find it for purchase online.

Useful Links

• OpenCV 2.3.1 documentation
• NumPy tutorial

Note

Some of the slides below come from Martial Hebert's excellent Computer Vision course at Carnegie Mellon University.

Class Schedule