Tue, Thu 11:20-12:35, Hicks 211
Instructor: Matt Zucker
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.
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.
Some of the slides below come from Martial Hebert's excellent Computer Vision course at Carnegie Mellon University.
|Part I: Image formation and appearance-based methods|
|Week||Dates||Topics||Readings||Labs & HW|
|1||Jan 22, Jan 24||
|2||Jan 29, Jan 31||
Sections 3.1-3.4, 3.5.1, 3.5.2, 3.6.1
HW 2 images
Fruit flies movie 1
Fruit flies movie 2
|3||Feb 5, Feb 7||
|4||Feb 12, Feb 14||
Sections 4.2, 4.3
Sudoku solver Tracker code
|Part II: Geometric and 3D methods|
|5||Feb 19, Feb 21||
|6||Feb 26, Feb 28||
Diebel - attitude paper
Cereal box camera calibration code
|7||Mar 5, Mar 7||
|8||Mar 19, Mar 21||
|9||Mar 26, Mar 28||
|10||Apr 2, Apr 4||
Shape from example; Paper
|Part III: Recognition and classification|
|11||Apr 9, Apr 11||
|12||Apr 16, Apr 18||
|13||Apr 23, Apr 25||
|14||Apr 30, May 2||
Varma & Zisserman textons paper
|FINAL EXAM - date and time TBA|