Doctoral Subject Exam in Computer Vision
Exam Overview
This doctoral subject exam is intended for those students who plan to pursue a PhD in topics associated with computer vision. It is designed to test whether students have a sufficiently comprehensive and nuanced understanding of the field of computer vision to do PhD-level research in the field.
Exam Format
The exam will be given the fall semester, as a three-hour, in-class exam. The next exam will be administered on September 28, 2007, 10am-1pm, (tentative) in MCS 135. The test is closed book, but you can bring 3 pages of crib sheets (both sides) on normal-sized paper (8.5 x 11 inches). Preparing a crib sheet is a useful study tool; it helps you to review and organize the material before the test. Your crib sheets should be written out (no mechanical or electronic reproductions are allowed). If you elect to use crib sheets, you will be asked to turn them in with your test.
Exam Bibliography
Textbooks:
Berthold K. P. Horn, Robot Vision, MIT Press, February 1986. Chapters 1-15.
David Forsyth and Jean Ponce, Computer Vision: A Modern Approach, Prentice-Hall, 2003. Chapters 1-24.
Richard O. Duda, Peter E. Hart, David G. Stork, Pattern Classification, Second edition, Wiley, John & Sons, October 2000. Chapters 2-5, 9, and 10.
Steven M. Kay,
Fundamentals of Statistical Processing, Volume I: Estimation Theory,
Prentice Hall, 1993. Chapters 2 and 3 (up to and
including Section 3.9).
Kenneth R. Castleman, Digital
Image Processing, Prentice Hall, 1995. Chapters 9-14, 18, and 19.
Andrew Blake and Michael Isard,
Active Contours, Springer-Verlag, 1998.
Chapters 1-12.
Papers:
These papers are meant to fill some gaps in the above textbooks.
P. J. Besl and N. D. McKay. A Method for Registration of 3-D Shapes, IEEE Transactions on Pattern and Machine Intelligence, 14(2), pp. 239-256, 1992. pdf
L. R. Rabiner. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, Proc. of the IEEE, 77(2), pp. 257-286, 1989. pdf
R. Szeliski. Video Mosaics for Virtual Environments. In IEEE Computer Graphics and Applications, 16(3), pp. 22-30, 1996. pdf
G. Welch and G. Bishop. An Introduction
to the Kalman Filter, TR 95-041, Computer Science Dept., U. of North
Carolina at Chapel Hill, 1995 (revised 2002). pdf