Course Information

  • Instructor:     Prof. David Kriegman
       Office:             EBU-3B, Room 4120
       Phone:            858-822-2424
       Email:             kriegman [AT] cs.ucsd.edu
       Office Hours:  Wednesday 1:30 - 3:00 PM

  • TA:                Manmohan Chandraker
       Office:             EBU-3B, Room 4148
       Phone:            858-534-8822
       Email:             mkchandraker [AT] cs.ucsd.edu
       Office Hours:  Monday 2:00 - 4:00 PM in EBU-3B Room B260A.

    • Class Description:The goal of computer vision is to compute properties of the three-dimensional world from images and video. Problems in this field include identifying the 3D shape of a scene, determining how things are moving, and recognizing familiar people and objects. This course provides an introduction to computer vision, including such topics as feature detection, image segmentation, motion estimation, object recognition, and 3D shape reconstruction through stereo, photometric stereo, and structure from motion.

    Required Text: Introductory Techniques for 3-D Computer Vision, E. Trucco and A. Verri, Prentice Hall, 1998.

    Prerequisites: Linear algebra and Multivariable calculus (e.g. Math 20A & 20F), data structure/algorithms (e.g. CSE100), a good working knowledge of C, C++ or Matlab programming.
    Grading:
               Assignments:      45%
               Midterm:             20%
               Final Exam:        35%

    Late Policy: Written homework will be due in class and accepted thereafter with a penalty of 10% per day starting from the due date. Programming assignments will have a hand-in procedure described with the assignment and also has a 10% per day late penalty. No assignments will be accepted after the graded assignments have been returned or the solutions have been released.

    Last updated April 03, 2006.